Epidemiology and Medical statistics Books
Independently Published Geriatric Medicine
£151.52
Amazon Digital Services LLC - Kdp Vax Facts Exercises
£14.11
Amazon Digital Services LLC - Kdp Polycystic Ovary Syndrome PCOS
£12.99
Little, Brown & Company Apollos Arrow
Book SynopsisA piercing and scientifically grounded look at the emergence of the coronavirus pandemic and how it will change the way we live—'excellent and timely.' (The New Yorker) Apollo's Arrow offers a riveting account of the impact of the coronavirus pandemic as it swept through American society in 2020, and of how the recovery will unfold in the coming years. Drawing on momentous (yet dimly remembered) historical epidemics, contemporary analyses, and cutting-edge research from a range of scientific disciplines, bestselling author, physician, sociologist, and public health expert Nicholas A. Christakis explores what it means to live in a time of plague—an experience that is paradoxically uncommon to the vast majority of humans who are alive, yet deeply fundamental to our species.Unleashing new divisions in our society as well as opportunities for cooperation, this 21st-century pandemic has upended our lives in ways that will tes
£14.24
Little, Brown & Company Apollos Arrow
Book SynopsisA piercing and scientifically grounded look at the emergence of the coronavirus pandemic and how it will change the way we live—'excellent and timely.' (The New Yorker) Apollo's Arrow offers a riveting account of the impact of the coronavirus pandemic as it swept through American society in 2020, and of how the recovery will unfold in the coming years. Drawing on momentous (yet dimly remembered) historical epidemics, contemporary analyses, and cutting-edge research from a range of scientific disciplines, bestselling author, physician, sociologist, and public health expert Nicholas A. Christakis explores what it means to live in a time of plague—an experience that is paradoxically uncommon to the vast majority of humans who are alive, yet deeply fundamental to our species.Unleashing new divisions in our society as well as opportunities for cooperation, this 21st-century pandemic has upended our lives in ways that will tes
£22.50
Elsevier Science Features Transmission Detection and Case Studies
Book Synopsis
£175.50
Elsevier Science Linking Neuroscience and Behavior in COVID19
Book Synopsis
£175.50
Elsevier Science Management Body Systems and Case Studies in
Book Synopsis
£175.50
Elsevier Science Thematic Approaches to COVID19
Book Synopsis
£522.75
Handbook on the Toxicology of Metals
Book Synopsis
£242.25
Penguin Putnam Inc Doom
Book Synopsis
£11.36
Elsevier Health Sciences Transforming Public Health Surveillance
Book SynopsisTable of ContentsIntroduction 1. Past Contributions 2. CDC Perspectives and Strategy on Emerging Public Health Surveillance Issues and Opportunities 3. Models of Public Health Surveillance 4. Integrated versus Vertical Public Health Surveillance Systems 5. Reactive versus Proactive Public Health Surveillance 6. New Public Health Surveillance Evaluation Model 7. New Matrix for Evaluation of Public Health Surveillance Systems 8. Economics of Public Health Surveillance 9. Supply and Demand of the Public Health Workforce 10. Policies, Standards, and Best Practices for Public Health Surveillance 11. Keeping Our World Safe by Integrating Public Health and Global Security 12. Smart Governance of Public Health Surveillance 13. Achieving the Right Balance in Governance of Public Health Surveillance 14. One Health in the Twenty-first Century 15. Collaboration for Biosurveillance 16. Contributions of the United States' Military Public Health Surveillance to Global Public Health Security 17. Nonprofit Associations and Cultivating Collaboration to Advance Public Health Surveillance 18. Linking Clinical Medicine Data with Public Health Surveillance for Mutual Benefit 19. Engaging Communities to Transform Public Health Surveillance 20. Art and Science of Interoperability to Create Connections 21. Data Storms Are Growing, Everywhere, and Have to Work Together 22. Surveillance Informatics Builds an Ecosystem for Transformation 23. The Human Interaction Required for Visualizing and Manipulating Information 24. Necessary Challenge of Verifying and Validating Public Health Data 25. Public Health Modeling and Data Mining 26. Using Genetic Sequence Data for Public Health Surveillance 27. Multifaceted Approaches and Emerging Trends in Public Health Analytics 28. Predictive Surveillance: An Outcome of Applied Interdisciplinary Translational Research in Public Health Surveillance 29. Tracking Progress toward Health and Equity through the Millennium Development Goals-Lessons for Public Health Surveillance 30. Research and Innovations Guiding Public Health Surveillance in the Twenty-first Century 31. Improving Health Equity and Sustainability by Transforming Public Health Surveillance
£44.44
Elsevier Health Sciences Essential Concepts in Clinical Research
Book SynopsisTrade ReviewWhen you read that the authors of a book were proud to have "escaped the 1970s without owning a leisure suit," you just know it's going to be good. Clearly, such authors have a different point of view-and a great sense of humor. Essential Concepts in Clinical Research is an accurate title; the book is a pragmatic guide to understanding and evaluating clinical research, and it is excellent. It is easy to read, contains a surprising amount of information for its size, and is well referenced. In addition to explaining the key points of epidemiological and clinical research designs, the book has lots of examples of good practices and bad mistakes, as well as several helpful flowcharts and illustrations. The authors write with humor (they somehow weave ancient Roman toilets and astrology into the mix) and with a great deal of authority. If you need to understand the clinical literature, this is probably the single best guide you can get. Tom Lang, Tom Lang Communications and Training International In this text physicians and allied health professionals will find a concise and insightful guide to the design and implementation of clinical research. Clearly written in short easy-to-digest chapters this text differs from other similar publications by providing practical clinical examples from the medical literature that highlight the concepts being discussed. Physicians, pharmacists and other allied health professions will find the insights offered by these authors to be invaluable in interpreting medical literature and established researchers will better understand how to optimize their conduct and interpretation of clinical research. Robert Reid, Journal of Obstetrics & Gynecology Canada, 2019Table of ContentsIntroduction 1. An overview of clinical research: the lay of the land Observational studies 2. Descriptive studies: what they can and cannot do 3. Bias and causal associations in observational research 4. Cohort studies: marching towards outcomes 5. Case-control studies: research in reverse 6. Finding controls for case-control studies: compared to what? 7. Limitations of observational epidemiology Screening tests 8. Uses and abuses of screening tests 9. Refining clinical diagnosis with likelihood ratios Randomized controlled trials 10. Boosting participant recruitment in trials 11. Sample size calculations in randomized trials: mandatory and mystical 12. Generation of allocation sequences in randomized trials: chance not choice 13. Generation of allocation sequences in non-double-blinded randomized trials: guarding against guessing 14. Allocation concealment in randomized trials: defending against deciphering 15. Exclusions and losses in randomized trials: sample size slippages 16. Blinding in randomized trials: hiding who got what 17. Implementing treatment blinding in randomized trials 18. Surrogate endpoints and composite outcomes: shortcuts to unknown destinations 19. Multiplicity in randomized trials I: endpoints and treatments 20. Multiplicity in randomized trials II: subgroup and interim analyses 21. Conducting randomized trials as part of a prospective meta-analysis Publishing 22. Reporting studies in medical journals: CONSORT and other guidelines
£35.14
Elsevier Australia Vital Statistics
Book Synopsis
£27.30
Taylor & Francis Inc Applied Statistical Designs for the Researcher 12
Book SynopsisShowcasing a discussion of the experimental process and a review of basic statistics, this volume provides methodologies to identify general data distribution, skewness, and outliers. It features a unique classification of the nonparametric analogs of their parametric counterparts according to the strength of the collected data. Applied Statistical Designs for the Researcher discusses three varieties of the Student t test, including a comparison of two different groups with different variances; two groups with the same variance; and a matched, paired group. It introduces the analysis of variance and Latin Square designs and presents screening approaches to comparing two factors and their interactions.Table of ContentsResearch and Statistics Basic Review of Parametric Statistics Exploratory Data Analysis Two Sample Tests Completely Randomized One-Factor Analysis of Variance One and Two Restrictions on Randomization Completely Randomized Two-Factor Factorial Designs Two-Factor Factorial Completely Randomized Blocked Designs Useful Small Scale Pilot Designs Nested Statistical Designs Linear Regression Nonparametric Statistics Introduction to Research Synthesis and "Meta-Analysis" and Conclusory Remarks References Index.
£120.00
Pharmaceutical Press Pharmaceutical Statistics
Book SynopsisWritten specifically for pharmacy students, this book explains basic statistics. It contains chapters on basic concepts such as types of data, graphical representation of data, distribution and standard deviation. More advanced statistical techniques, such as ANOVA, are also discussed.Trade Review'This book is a welcome addition to the Pharmacy library...an undoubted strength of the book is its clarity in presentation...the book is highly recommended to any person interested in quantitative aspects of pharmacy...' Prof. Mike Roberts, the Department of Medicine, Department of Practice and Policy, Princess Alexandra Hospital, The University of Queensland, Australia, Journal of Pharmacy and Pharmacology, 1 May 2003 -- Mike Roberts * Journal of Pharmacy and Pharmacology *'Pharmaceutical Statistics is well thought out and well written, with a good layout that does not get bogged down with overly complex explanations.' Henry Skupek, Program Support Coordinator, Australian College of Pharmacy Practice, Canberra, Australian Pharmacist, 1 Feb 2003 -- Henry Skupek * Australian Pharmacist *'...the book is a useful addition to the range of books available on pharmaceutical statistics.' Alain Li Wan Po, The Pharmaceutical Journal, 7 June 2003 -- Alain Li Wan Po * The Pharmaceutical Journal *
£31.35
Taylor & Francis Ltd Forty Days
Book SynopsisForty Days: Quarantine and the Traveller, c. 1700 1900 provides a timely reminder that no traveller in past centuries could return from the East without spending up to 40 days in a lazaretto to ensure that no symptoms of plague were developing. Quarantine was performed in virtual prisons ranging from mud huts in the Danube basin to a converted fort on Malta, evoking every emotion from hatred and hostility through to resignation and even contentment. Drawing on the diaries and journals of some 300 men and women of many nationalities over more than two centuries, the author describes the inadequate accommodation, poor food and crushing boredom experienced by detainees. The book also draws attention to comradeship, sickness, and death in detention, as well as Casanova's unique ability to do what he did best even in the lazaretto of Ancona. Other well-known detainees included Hans Christian Andersen, Mark Twain and Sir Walter Scott. Lavishly illustrated, the work includes Table of ContentsIntroduction 1. Reasons, Regimes and Routes 2. Quarantine: the Social Leveller 3. First Impressions 4. Passing the Time 5. Reckoning and Departure Gazetteer: Quarantine Stations and Lazarettos
£37.99
Bloomsbury Publishing PLC Epidemics and Pandemics
Book SynopsisIn the wake of COVID, it's more important than ever to understand epidemicshow they emerge and what we can do to fight back.Part of Bloomsbury's Q&A Health Guides series, this book takes a balanced approach, offering a blend of both epidemiological science and practical suggestions grounded in that science. The volume's 47 questions begin with the basics, including which diseases are most likely to become epidemics, which have historically been the deadliest, and how factors such as climate change will affect the emergence of future pandemics. Next, the book answers readers' questions regarding how epidemics spread and how strategies such as disease reporting, quarantine, and vaccine development can help combat them. Readers will also find questions offering guidance on how to protect yourself during a widespread disease event, including which information sources to trust and how personal choices can influence exposure risk. The final section of questions examiTable of ContentsSeries Forward Acknowledgments Introduction Guide to Health Literacy Common Misconceptions about Epidemics and Pandemics 1. Epidemics are caused by highly communicable microbial agents 2. Epidemics are only caused by novel pathogens for which humans have no immunity 3. Pandemics are the result of the highly interconnected world we live in, where no country is more than 24 hours away from any other 4. Epidemics are only dangerous for people who are already unhealthy 5. More investment in vaccine research and development can prevent future epidemics Questions and Answers The Basics 1. What is an epidemic? What is a pandemic? 2. Which diseases are most likely to cause epidemics and pandemics? 3. Are there places on earth where epidemic diseases are more common? 4. Who decides when an epidemic has emerged and who decides when it’s over? What criteria are used to do so? 5. What have been the most lethal epidemics in recorded history? 6. Does climate change influence the prevalence of epidemic disease? 7. Which diseases pose the greatest threat to humanity? 8. Can future pandemics be prevented? How Epidemics and Pandemics Begin and Spread How Epidemics and Pandemics Begin and Spread 9. How are epidemic diseases transmitted? 10. How do epidemic diseases spread? 11. How much of a pathogen is needed to create infection? 12. What is a basic reproductive number? 13. What is an incubation period and how can it affect the spread of an epidemic disease? 14. What is a disease’s infectious period and how can it influence an epidemic? 15. Why do diseases mutate over time, and how does this affect the spread of epidemics? 16. What factors increase susceptibility to epidemic disease? 17. What is a super-spreader and what role do they play in epidemics? 18. What does it mean to be asymptomatic, and can an asymptomatic person spread disease? 19. Is there a natural progression for an epidemic disease? Will an epidemic or pandemic eventually die out on its own? Combatting Epidemics and Pandemics 20. In the United States, who is in charge of organizing a response to an epidemic? 21. What institutions are responsible for global responses to pandemics? 22. What is disease reporting and why is it important during an epidemic? 23. What is contact tracing and how does it reduce the spread of disease? 24. How do vaccines work? How effective are they? 25. How do researchers create vaccines for new diseases? 26. What non-pharmaceutical measures work to combat epidemics when effective vaccines or antibiotics don’t exist? 27. What is the difference between quarantine and isolation? How do they help combat epidemics? 28. What are universal public health precautions? 29. Do public health mandates to control human behavior work? 30. Covid-19 revealed political differences in the way pandemics are managed. Is this a new phenomenon? Protecting Yourself during an Epidemic or Pandemic 31. Will past exposure to an epidemic disease protect against future exposures to that disease? 32. What personal choices influence exposure to disease? 33. What are the most effective ways to protect oneself when an epidemic or pandemic occurs? 34. Is handwashing effective for reducing exposure to epidemic diseases? 35. Can a face covering protect me from epidemic diseases? 36. Which surfaces should be cleaned to minimize the risk of infection, and what sort of cleaning products work best? 37. Does social distancing work to reduce exposure to epidemic diseases? 38. Are there dietary and exercise routines that improve immunity? 39. When someone in your household gets an epidemic disease, what precautions should be taken? 40. What lifestyle choices can improve mental health during an epidemic? 41. What are trustworthy organizations and sources of information to consult during an epidemic? The Impact of Epidemics and Pandemics 42. Do epidemics affect certain groups of people more than others? 43. Can epidemics and pandemics lead to health problems even after they’ve officially ended? 44. In what other ways can an epidemic or pandemic negatively impact physical health? 45. How can an epidemic or pandemic affect individuals’ mental and social well-being? 46. How do pandemics affect the economy, politics, and culture? 47. How do epidemics and pandemics stigmatize certain people? Case Studies 1. So Much for the 6-Foot Social Distancing Rule: The Tale of a Loudmouth and Captive Employee 2. Reports of “Mongolian Purple Plague” Spark Riots in the United States 3. A Smallpox Bioterrorism Event Closes New York City and Creates a Public Health Emergency 4. Spreading Monkeypox: The Extreme Burdens of Poverty and Limited Access to Health Care Services 5. Digital Breadcrumbs Expedite Contact Tracing during a Measles Outbreak Glossary Directory of Resources Index
£40.00
Taylor & Francis Inc Bioequivalence and Statistics in Clinical
Book SynopsisMaintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition explores statistics used in day-to-day clinical pharmacology work. The book is a starting point for those involved in such research and covers the methods needed to design, analyze, and interpret bioequivalence trials; explores when, how, and why these studies are performed as part of drug development; and demonstrates the methods using real world examples. Drawing on knowledge gained directly from working in the pharmaceutical industry, the authors set the stage by describing the general role of statistics. Once the foundation of clinical pharmacology drug development, regulatory applications, and the design and analysis of bioequivalence trials are established, including recent regulatory changes in design and analysis and in particular sample-size adaptation, they move on to related topics in clinical pharmacology involving the use of cross-over Trade Review"The two authors are well-respected statisticians with numerous publications in BE and broad pharmaceutical industry experience. … The book is written in plain language and statistics is presented with minimum mathematical proof, which makes it a great introduction and reference for statisticians and clinical pharmacologists. With case studies and associated SAS and R codes included in the book and website, both statisticians and clinical pharmacologists will find this book helpful in understanding the context to use a method and implementing the ready-to-use codes. Particularly, each chapter begins with an interesting real-life story of the authors working as statisticians in the pharmaceutical industry, which makes the reading delightful. …In summary, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition, provides an update on regulatory recommendations, statistical methods, and applications in clinical pharmacology and BE studies to support drug product development. With its inclusion of SAS and R codes, this book will be a valuable reference for pharmaceutical scientists, statisticians, and regulators working in these areas."—Wangjie Sun and Wenlei Jiang, US Food and Drug Administration, in Journal of the American Statistical Association, January 2018"This book is a second edition of the authors’ take on the concepts and methods in the analysis and design of bioequivalence studies, supported by references to regulation authorities’ guidelines ... The authors are working in the pharmaceutical industry and therefore bring a view from the inside compared to the other reference work in the field by academics … Throughout the book, different examples with data and codes are provided both showing and not showing bioequivalence to facilitate the learning process. … To conclude, this book covers efficiently the statistical methods of bioequivalence testing and their many applications in clinical pharmacology. Furthermore, the dense reference list provides a helpful guide for the reader to go in deeper details on topics of interest."—Julie Bertrand, Faculté de Médecine Bichat, IAME, in Journal of Biopharmaceutical Statistics, May 2017"The first edition of Bioequivalence and Statistics in Clinical Pharmacology was a classic text book for researchers and statisticians in the field of clinical pharmacology and pharmaceutical industry. This new second edition is a timely update with the inclusion of new areas such as adaptive bioequivalence trials, scaled average bioequivalence testing, and vaccine trials. This is one of few books in the literature with the focus on statistical issues in clinical pharmacology and bioequivalence. The topics it covers are critical for understanding the pharmacology of an investigational drug, and are becoming increasingly important in the era of precision medicine. The book is just as well structured as the first edition, in an accessible, thorough, and clear manner. Case studies and associated SAS code included in the book are extremely helpful. In summary, the book is a most welcome addition to the collection of pharmaceutic statisticians and researchers in clinical pharmacology." —Liang Fang, Director of Biostatistics, Gilead Sciences Inc."Bioequivalence and Statistics in Clinical Pharmacology, Second Edition, provides readers with a statistical background of bioequivalence and presents several special topics in clinical pharmacology. This second edition contains updated and extended discussions of these topics and includes new chapters on adaptive bioequivalence studies, scaled average bioequivalence, and vaccine trials. The book’s presentation is comprehensive and clear, and is complimented by numerous illustrations, examples, and computer programs with data analyses. Scientists and practitioners working in industry, regulatory authorities, and academia will find this book useful, interesting, and enjoyable due to the delightful and instructive stories featured in the introductions of each chapter, the various important and relevant topics covered by these chapters, and the informative and practical technical appendices."—Laszlo Endrenyi, Professor Emeritus, University of TorontoPraise for the First Edition:"… the book provides a good introduction to common uses of statistics in early phases of the drug development process by using a good mix of technical detail, intuitive understanding and factual knowledge. … personal accounts together with the numerous real data examples which are accompanied by SAS code for analysis and the opportunity to download the data to gain first-hand experience are the best features of the book. … the authors did a fine job in providing an introduction to statistics in the early stages of the drug development process. The availability of real example data allows the reader to engage himself easily in the topic and the long experience of the authors ensures that many different aspects of pharmacological studies are discussed."—Thomas Jaki, Lancaster University, Journal of the Royal Statistical Society, Series A, 2010"I really enjoyed reading this book. Each chapter includes an excellent introduction based on Scott Patterson's experience working as a biometrician. This will especially be of interest to young statisticians starting their career in the pharmaceutical industry. Therefore, I strongly recommend this book to all pharmaceutical statisticians to learn more of the challenging statistical problems being generated in drug development. In addition, the presented material provides a springboard for all scientists from academia who are looking to do research in this area of medical applications."—Dieter Haushcke, Biometrics, September, 2006"The authors formulate bioequivalence exhaustively and clearly. … Given the background of the authors, they constitute a key piece of social information in understanding the context in which clinical pharmacology research develops within the pharmaceutical industry."—Journal of Biopharmaceutical Statistics"The two authors are well-respected statisticians with numerous publications in BE and broad pharmaceutical industry experience. … The book is written in plain language and statistics is presented with minimum mathematical proof, which makes it a great introduction and reference for statisticians and clinical pharmacologists. With case studies and associated SAS and R codes included in the book and website, both statisticians and clinical pharmacologists will find this book helpful in understanding the context to use a method and implementing the ready-to-use codes. Particularly, each chapter begins with an interesting real-life story of the authors working as statisticians in the pharmaceutical industry, which makes the reading delightful. …In summary, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition, provides an update on regulatory recommendations, statistical methods, and applications in clinical pharmacology and BE studies to support drug product development. With its inclusion of SAS and R codes, this book will be a valuable reference for pharmaceutical scientists, statisticians, and regulators working in these areas."—Wangjie Sun and Wenlei Jiang, US Food and Drug Administration, in Journal of the American Statistical Association, January 2018"This book is a second edition of the authors’ take on the concepts and methods in the analysis and design of bioequivalence studies, supported by references to regulation authorities’ guidelines ... The authors are working in the pharmaceutical industry and therefore bring a view from the inside compared to the other reference work in the field by academics … Throughout the book, different examples with data and codes are provided both showing and not showing bioequivalence to facilitate the learning process. … To conclude, this book covers efficiently the statistical methods of bioequivalence testing and their many applications in clinical pharmacology. Furthermore, the dense reference list provides a helpful guide for the reader to go in deeper details on topics of interest."—Julie Bertrand, Faculté de Médecine Bichat, IAME, in Journal of Biopharmaceutical Statistics, May 2017"The first edition of Bioequivalence and Statistics in Clinical Pharmacology was a classic text book for researchers and statisticians in the field of clinical pharmacology and pharmaceutical industry. This new second edition is a timely update with the inclusion of new areas such as adaptive bioequivalence trials, scaled average bioequivalence testing, and vaccine trials. This is one of few books in the literature with the focus on statistical issues in clinical pharmacology and bioequivalence. The topics it covers are critical for understanding the pharmacology of an investigational drug, and are becoming increasingly important in the era of precision medicine. The book is just as well structured as the first edition, in an accessible, thorough, and clear manner. Case studies and associated SAS code included in the book are extremely helpful. In summary, the book is a most welcome addition to the collection of pharmaceutic statisticians and researchers in clinical pharmacology." —Liang Fang, Director of Biostatistics, Gilead Sciences Inc."Bioequivalence and Statistics in Clinical Pharmacology, Second Edition, provides readers with a statistical background of bioequivalence and presents several special topics in clinical pharmacology. This second edition contains updated and extended discussions of these topics and includes new chapters on adaptive bioequivalence studies, scaled average bioequivalence, and vaccine trials. The book’s presentation is comprehensive and clear, and is complimented by numerous illustrations, examples, and computer programs with data analyses. Scientists and practitioners working in industry, regulatory authorities, and academia will find this book useful, interesting, and enjoyable due to the delightful and instructive stories featured in the introductions of each chapter, the various important and relevant topics covered by these chapters, and the informative and practical technical appendices."—Laszlo Endrenyi, Professor Emeritus, University of TorontoPraise for the First Edition:"… the book provides a good introduction to common uses of statistics in early phases of the drug development process by using a good mix of technical detail, intuitive understanding and factual knowledge. … personal accounts together with the numerous real data examples which are accompanied by SAS code for analysis and the opportunity to download the data to gain first-hand experience are the best features of the book. … the authors did a fine job in providing an introduction to statistics in the early stages of the drug development process. The availability of real example data allows the reader to engage himself easily in the topic and the long experience of the authors ensures that many different aspects of pharmacological studies are discussed."—Thomas Jaki, Lancaster University, Journal of the Royal Statistical Society, Series A, 2010"I really enjoyed reading this book. Each chapter includes an excellent introduction based on Scott Patterson's experience working as a biometrician. This will especially be of interest to young statisticians starting their career in the pharmaceutical industry. Therefore, I strongly recommend this book to all pharmaceutical statisticians to learn more of the challenging statistical problems being generated in drug development. In addition, the presented material provides a springboard for all scientists from academia who are looking to do research in this area of medical applications."—Dieter Haushcke, Biometrics, September, 2006"The authors formulate bioequivalence exhaustively and clearly. … Given the background of the authors, they constitute a key piece of social information in understanding the context in which clinical pharmacology research develops within the pharmaceutical industry."—Journal of Biopharmaceutical StatisticsTable of ContentsBioequivalence & Biopharmaceutical DevelopmentDrug Development and Clinical PharmacologyAims of This BookBiopharmaceutical DevelopmentClinical PharmacologyStatistics in Clinical PharmacologyStructure of the BookHistory and Regulation of BioequivalenceWhen and How BE Studies Are PerformedWhy Are BE Studies Performed?Deciding When Formulations Are BioequivalentPotential Issues with TOST BioequivalentCurrent International RegulationSome Practical NotesTesting for Average BioequivalenceBackgroundLinear Model for 2 x 2 DataApplying the TOST ProcedureCarry-over, Sequence, and Interaction EffectsChecking Assumptions Made about the Linear ModelPower and Sample Size for ABE in the 2 x 2 DesignExample Where Test and Reference Are Not ABENonparametric AnalysisBE Studies with More Than Two PeriodsBackgroundThree-period DesignsWithin-subject VariabilityRobust Analyses for Three Period DesignsFour-period DesignsDesignes with More Than Two TreatmentsAdjusting for Multiple TestingNonparametric Analyses of TmaxTechnical appendix: EfficiencyTables of DataSpecial Topics in BioequivalenceDealing with Special BE ChallengesRestricted Maximum Likelihood ModellingFailing BE and the DER AssessmentSimulationData-based SimulationCarry-overOptimal DesignsDetermining Trial SizeWhat Outliers Are and How to Handle Their DataBayesian BE AssessmentAdaptive Bioequivalence TrialsBackgroundTwo-stage design for testing for ABETOST using the standard combination testExample of using the standard combination testThe maximum combination testExample of using the maximum combination testConditional errors and conditional powerAlgorithm for sample size re-estimationOperating characteristicsConclusionsTechniccal Appendix: R codeScaled Average Bioequivalence TestingBackgroundScaled Average Bioequivalence in EuropeScaled Average Bioequivalence in USADiscussion and CautionsClinical PharmacologyClinical Pharmacology Safety StudiesBackgroundFirst-time-in-humansSub-chronic Dosing StudiesFood-Effect Assessment and DDIsDose-ProportionalityTechnical AppendixQTcBackgroundModelling of QTc DataInterpreting the QTc Modelling FindingsDesign of a Thorough QTc Study in the FutureClinical Pharmacology Efficacy StudiesBackgroundSub-chronic DosingPhase IIa and the Proof of ConceptPopulation PharmacokineticsPopulation and PharmacokineticsAbsolute and Relative BioavailabilityAge and Gender Pharmacokinetic StudiesEthnicityLiver DiseaseKidney DiseaseTechnical Appendix Vaccines & Epilogue Vaccine TrialsBrief Introduction to Vaccine Research and DevelopmentPhase I Vaccine StudiesProof of Concept and Phase IILot ConsistencyConcomitant VaccinationCross-over Trials in VaccinesEpilogue BibliographyIndex
£120.00
Springer Us Changing Cancer Patterns and Topics in Cancer Epidemiology In Memory Of Professor Mitsuo Segi Gann Monograph On Cancer Research 33
Book SynopsisDespite an enormous investment of effort throughout the world, cancer is still a major barrier to human longevity. Segi decided to devote his life to the fight against cancer by establishing worldwide comparative cancer statistics-one of the landmarks in cancer studies and in cancer prevention strategies.Table of ContentsChanging Cancer Patterns.- Changing Patterns of Cancer Incidence in Five Continents.- Trends of Cancer Incidence by Site and Histological Type in Osaka, Japan, 1963–1982.- Changes in Mortality of All Forms of Malignant Neoplasms among Japanese for the Last Decades.- Trends in Lung Cancer Mortality in 24 Countries.- Cancer Registration.- Cancer Registration in the Near Future.- The Cancer Registry and the Study of Occupational Cancer in Denmark.- Changes in Frequency of Less Common Cancers: An Early Warning System for Cancer Registries.- End Results of Cancer Patterns: From Population-Based Cancer Registry Data.- The Impact of the Computer on the Cancer Registry.- Migrant Study.- Cancer among Japanese-Americans in Hawaii.- Cancer Mortality among Polish Migrants.- Cancer Patterns among Koreans in Japan.- Topics in Cancer Epidemiology.- Passive Smoking and Cancer: An Epidemiological Review.- Exogenous Hormones and the Risk of Cancer.- Adult T-Cell Leukemia.- Chemical Risk Factors for Nasopharyngeal Carcinoma (NPC)—A Review.- Occupational Lung Cancer in a Tin Mine in South China.- Etiologic Clues from Cancer Mapping in the United States.- International Comparative Study.- Comparative Epidemiology of Cancer in the United States and Japan: Preventive Implications.- U S.-Japan Cooperative Cancer Research Program Report of a Workshop on Adult-Type Cancer under Age 30.- Rearranging Segi’s Cancer Mortality Statistics by Factor and Cluster Analysis.- Author Index.
£46.74
Taylor & Francis Inc Concise Encyclopedia of Biostatistics for Medical
Book SynopsisConcise Encyclopedia of Biostatistics for Medical Professionals focuses on conceptual knowledge and practical advice rather than mathematical details, enhancing its usefulness as a reference for medical professionals. The book defines and describes nearly 1000 commonly and not so commonly used biostatistical terms and methods arranged in alphabetical order. These range from simple terms, such as mean and median to advanced terms such as multilevel models and generalized estimating equations. Synonyms or alternative phrases for each topic covered are listed with a reference to the topic.Table of ContentsDefines and describes nearly 1000 commonly and not so commonly used biostatistical terms and methods, arranged in alphabetical order
£237.50
Taylor & Francis Inc Health Technology Assessment
Book SynopsisThe term health technology refers to drugs, devices, and programs that can improve and extend quality of life. As decision-makers struggle to find ways to reduce costs while improving health care delivery, health technology assessments (HTA) provide the evidence required to make better-informed decisions.This is the first book that focuses on the statistical options of HTAs, to fully capture the value of health improvements along with their associated economic consequences. After reading the book, readers will better understand why some health technologies receive regulatory or reimbursement approval while others do not, what can be done to improve the chances of approval, as well as common shortcomings of submissions for drug and device reimbursement.The book begins by contrasting the differences between regulatory approval and reimbursement approval. Next, it reviews the principles and steps for conducting an HTA, including the reasons why different agencies will hTable of ContentsRegulation, Reimbursement and Health Technology Assessment. Requirements and Sources of Data to Complete an HTA. Meta-Analysis. Network Meta-Analysis. Bayesian Methods. Survival Analysis. Costs and Cost of Illness Studies. Health-Related Quality of Life. Missing Data Methods.
£99.75
Taylor & Francis Inc Statistical Testing Strategies in the Health
Book SynopsisStatistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments.The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methodsTrade Review"This book covers a wide range of statistical approaches to hypothesis testing for decision-making in various health science research fields. It provides not only refreshing information on many routinely used statistical methods but also a good review of more advanced methods such as empirical likelihood (EL) methods… For clinicians or medical researchers with some training in statistics, many chapters can serve as references. For research statisticians, the book provides important properties and theoretical elaborations for the methods. For pharmaceutical drug trial statisticians in particular, the book on one hand offers a systematic account of many methods and on another hand exposes them to the methods used in some related research fields (e.g., diagnosis identification and testing) that lead one to see the interrelations across such research fields. Throughout the book, the authors transfer the statistical concepts and methods to real-world applications, with emphasis on implementing the methods in R and SAS program code and on interpreting the results…Another great feature of the book is that the authors provide supplemental materials on the evolution of the methodology with additional research notes in each chapter. These give research-oriented statisticians a comprehensive list of references which would be quite helpful for their research. The supplemental materials are also entertaining for the general readers to learn the chronology of statistical theory and methods."—X. Daniel Jia, published in Journal of Biopharmaceutical Statistics, April 2017"With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials."—TLT Magazine, September 2016"This comprehensive book takes the reader from the underpinnings of statistical inference through to cutting-edge modern analytical techniques. Along the way, the authors explore graphical representations of data, a key component of any data analysis; standard procedures such as the t-test and tests for independence; and modern methods, including the bootstrap and empirical likelihood method. The presentation focuses on practical applications interwoven with theoretical rationale, with an emphasis on how to carry out procedures and interpret the results. Numerous software examples (R and SAS) are provided, such that the readers should be able to reproduce plots and other analyses on their own. A wealth of examples from real data sets, web resources, supplemental notes, and plentiful references are provided, which round out the materials."—From the Foreword by Nicole Lazar, Department of Statistics, University of GeorgiaTable of ContentsPreliminaries: Welcome to the Statistical Inference Club: Some Basic Concepts in Experimental Decision Making. Statistical Software: R and SAS. Statistical Graphics. A Brief Ode to Parametric Likelihood. Tests on Means of Continuous Data. Empirical Likelihood. Bayes Factor–Based Test Statistics. The Fundamentals of Receiver Operating Characteristic Curve Analyses. Nonparametric Comparisons of Distributions. Dependence and Independence: Structures, Testing, and Measuring. Goodness-of-Fit Tests (Tests for Normality). Statistical Change-Point Analysis. A Brief Review of Sequential Testing Methods. A Brief Review of Multiple Testing Problems in Clinical Experiments. Some Statistical Procedures for Biomarker Measurements Subject to Instrumental Limitations. Calculating Critical Values and p-Values for Exact Tests. Bootstrap and Permutation Methods. References. Index.
£109.25
Taylor & Francis Inc Modeling to Inform Infectious Disease Control
Book SynopsisEffectively Assess Intervention Options for Controlling Infectious DiseasesOur experiences with the human immunodeficiency virus (HIV), severe acute respiratory syndrome (SARS), and Ebola virus disease (EVD) remind us of the continuing need to be vigilant against the emergence of new infectious diseases. Mathematical modeling is increasingly used in the management of infectious disease control as a way to assess interventions relatively quickly, cheaply, and safely. Modeling to Inform Infectious Disease Control shows readers how to take advantage of these models when developing strategies to mitigate infectious disease transmission. The book presents a way of modeling as well as modeling results that help to guide the effective management of infectious disease transmission and outbreak response. It discusses the requirements for preventing epidemics and ways to quantify the impact of prevenTrade Review"This book provides an accessible introduction to the use of mathematical models to inform infectious disease management. The core material is designed to be read by someone with a 'modest knowledge of mathematics', possessing the ability to 'interpret an algebraic formula and [understand] what it means to solve an equation'; some additional knowledge of basic statistics is stated as being useful. ... The core material is complemented by more technical supplementary material at the end of each chapter, for readers with greater knowledge of mathematics. Exercises are included in each chapter which support the material and would be suitable for use as part of an introductory course...The language in the book is direct and clear, and the material is well motivated. ... Overall, this book is a valuable resource to those new to infectious disease (stochastic) modelling. It is rather unique in the level of assumed knowledge, the probabilistic foundation (including handling of branching process and stochastic household model results), the provision of tangible and realistic insight into how these models inform public health management, and the integration of data. To achieve this all within just over 200 pages is a great feat." -Joshua V. Ross School of Mathematical Sciences, The University of Adelaide, in Australian & New Zealand Journal of Statistics, 2016 "This new book seeks to fill an important gap in the literature on infectious disease modeling, namely separating the now well-developed mathematical and statistical theory of infectious diseases from its public health application to infectious disease control. Professor Becker bridges the two worlds by presenting a logical succession of simple models that relate to some of the pressing questions arising in outbreak control. The approach is very effective and has resulted in an engaging volume that, in my estimation, will become a classic of the literature and thus a worthy successor to the author's earlier landmark volume on the subject. It will be essential reading for a broad range of scientists working on infectious diseases, notably statisticians, modelers, and epidemiologists with an interest in quantitative methods." -Paddy Farrington, The Open University, UKTable of ContentsIntroduction. Minor outbreaks when infectives are homogeneous. Minor outbreaks in a community of households. Minor outbreaks when individuals differ. Transmission intensity function. Partially effective vaccines. Social distancing. Reducing epidemic size. Dynamics of infection incidence. Using data to inform model choice. Terminology and notation. References. Subject index.
£80.74
CRC Press Encyclopedia of Biopharmaceutical Statistics
Book SynopsisSince the publication of the first edition in 2000, there has been an explosive growth of literature in biopharmaceutical research and development of new medicines. This encyclopedia (1) provides a comprehensive and unified presentation of designs and analyses used at different stages of the drug development process, (2) gives a well-balanced summary of current regulatory requirements, and (3) describes recently developed statistical methods in the pharmaceutical sciences. Features of the Fourth Edition: 1. 78 new and revised entries have been added for a total of 308 chapters and a fourth volume has been added to encompass the increased number of chapters. 2. Revised and updated entries reflect changes and recent developments in regulatory requirements for the drug review/approval process and statistical designs and methodologies. 3. Additional topics include multiple-stage adaptive trial design in clinical research, translational medicine,
£3,308.69
Taylor & Francis Inc Biomechanical Aspects of Soft Tissues
Book SynopsisBiomechanics applies the laws and techniques of mechanics in the study of biological systems and related phenomena. Biomechanics uses mathematical and computational tools such as model construction of musclo-skeletal system, body fluid circulation, to aid medical diagnosis, therapeutics and surgery planning, designing of prostheses and implants or in tissue engineering. Present book targets specific topics pertaining to the biomechanics of soft tissues. Subjects addressed includes solids and multi-species mixtures as open systems: a continuum mechanics perspective; electro-chemo-mechanical couplings: tissues with a fixed electric charge and growth of biological tissues.Table of ContentsBiomechanical topics in soft tissues. Solids and multi-species mixtures as open systems: a continuum mechanics perspective. Elements of continuum mechanics. Thermodynamic properties of fluids. Multi-species mixtures as thermodynamically open systems. Anisotropic and conewise elasticity. Hyperelasticity, a purely mechanical point of view. Poroelasticity with a single porosity. Viscoelasticity and poro-viscoelasticity. Thermoelasticity and thermo-poroelasticity. Transfers of mass, momentum and energy. Waves in thermoelastic solids and saturated porous media. Electro-chemo-mechanical couplings : tissues with a fixed electric charge. Directional averaging and mechanical properties of fiber-reinforced tissues. Electro-chemo-mechanical couplings. Chemo-mechanical couplings in articular cartilages. Passive transport in the interstitium and circulation: basics. Coupled transportsin tissues endowed with a fixed electric charge. Effects of pH on the transport and mechanical properties of articular cartilages. Finite element analysis of electro-chemo-mechanical couplings. Two lamellar tissues: cornea and annulus fibrosus. Active transport. Growth of biological tissues. Tissue Engineering: overview of biochemical data and mechanical modeling. Growth of soft tissues. Kinematics, formulation and examples. Elastic-growing solids. Thermodynamically consistent growth laws. Elastic-growing mixtures. Solid tumors: biochemical overview and mechanical modeling. Units and physical constants. Bibliography
£171.00
John Murray Press Deadliest Enemy: Our War Against Killer Germs
Book SynopsisThe USA Today Bestseller 'The infectious disease expert who predicted the spread of coronavirus' - Daily Mail'Osterholm has produced a sharp, persuasive and urgent manifesto for how the world needs to think differently about natural threats, offering a blueprint for setting priorities and explaining why the infrastructure of global health needs reconfiguring... Deadliest Enemy will help to set the terms of that essential post-coronavirus conversation.' - Financial TimesUnlike natural disasters, whose destruction is concentrated in a limited area over a period of days, and illnesses, which have devastating effects but are limited to individuals and their families, infectious disease has the terrifying power to disrupt everyday life on a global scale, overwhelming public and private resources and bringing trade and transportation to a grinding halt.In today's world, it's easier than ever to move people, animals, and materials around the planet, but the same advances that make modern infrastructure so efficient have made epidemics and even pandemics nearly inevitable. And as outbreaks of COVID-19, Ebola, MERS, and Zika have demonstrated, we are woefully under-prepared to deal with the fallout. So what can - and must - we do in order to protect ourselves from mankind's deadliest enemy?Drawing on the latest medical science, case studies, policy research, and hard-earned epidemiological lessons, Deadliest Enemy explores the resources and programs we need to develop if we are to keep ourselves safe from infectious disease. The authors show how we could wake up to a reality in which many antibiotics no longer cure, bio-terror is a certainty, and the threat of a disastrous influenza or coronavirus pandemic looms ever larger. Only by understanding the challenges we face can we prevent the unthinkable from becoming the inevitable.Deadliest Enemy is high scientific drama, a chronicle of medical mystery and discovery, a reality check and a practical plan of action.Trade ReviewThe infectious disease expert who predicted the spread of coronavirus. * Daily Mail *Osterholm has produced a sharp, persuasive and urgent manifesto for how the world needs to think differently about natural threats, offering a blueprint for setting priorities and explaining why the infrastructure of global health needs reconfiguring... Deadliest Enemy will help to set the terms of that essential post-coronavirus conversation. * Financial Times *A sharp, persuasive and urgent manifesto for how the world needs to think differently about natural threats. * Financial Times *It really feels, in short, like the sort of book that we ought to have been reading this time last year. * The Times *
£14.24
Taylor & Francis Inc Biomarkers of Environmentally Associated Disease:
Book SynopsisThe end of the 20th century brought with it a revolution in molecular biology that culminated in advances such as the completion of the human genome. This has brought optimism to the fields of toxicology and environmental health, and the anticipation that molecular biomarkers might soon come of age and have a major impact on human and environmental health. Biomarker research is an area of current interest to scientists in a number of fields that are concerned with environmental exposure to pollutants and environmentally associated disease.Biomarkers of Environmentally Associated Disease: Technologies, Concepts, and Perspectives provides comprehensive coverage of the current status and future prospects of a field that will play a key role in emerging areas of public health and medicine. It focuses on the risk to human and environmental health of exposure to persistent organic pollutants, heavy metals, airborne toxics, environmental estrogens, and other environmental pollutants. This material will aid researchers in understanding, treating, and preventing environmentally induced disease.Validated molecular biomarkers have long been recognized as invaluable tools for identifying and preventing human disease. As biomarkers begin to be applied more widely, it is also important to assure that they are implemented ethically, with attention to the social and legal issues associated with their use. Biomarkers of Environmentally Associated Disease is an outstanding resource providing state-of-the-art information for the fields that encompass molecular biomarkers.Table of ContentsAcknowledgements. Overview. Genomics-Based Biomarkers/Genetic Toxicology Biomarkers. Biomarkers Of Metal Metabolism. Organ & Systems Biomarkers. Biomarkers And Chemical Toxicants. Nanotechniques & Biomarkers.
£228.00
Taylor & Francis Ltd The AIDS Pandemic: The Collision of Epidemiology
Book SynopsisThis work includes a foreword by Jeffrey Koplan, Vice President, Academic Health Affairs, Emory University, Atlanta, Formerly Director, Centers for Disease Control and Prevention (CDC). This groundbreaking new book blows apart the myths about who is at risk of getting AIDS and shows how these myths are driven by moral and political pressures. It provides an objective, logical, clear, epidemiologically based analysis on the current situation and situates itself firmly at marked variance with the politically correct position of UNAIDS and most AIDS activists. "The AIDS Pandemic" argues that the story of HIV has been distorted by UNAIDS and AIDS activists in order to support the myth of the high potential risk of HIV epidemics spreading into the general population. In the past, most policy makers and members of the public have uncritically accepted UNAIDS' high prevalence estimates and projections when in fact lower HIV prevalence estimates are more accurate. Time, money and resources are being wasted worldwide. This book is full of fresh analysis for all people working in any capacity in HIV/AIDS programmes. It will be invaluable to undergraduate and postgraduate healthcare students, health and social care professionals and the international media. Policy makers and shapers will find the pioneering information crucial to the future of the AIDS strategy. 'For close to a half century, my work as a public health epidemiologist has involved field research, program management, and teaching, mostly on public health surveillance and prevention and control of communicable diseases. [Since 1981] I have been involved virtually full time with the international response to the AIDS pandemic which is without question one of the most severe infectious disease pandemics in modern times. During my public health career that began in the early 1960s, I have always been considered a part of conventional or mainstream medical science. However, since the mid-1990s, I have found myself swimming upstream against mainstream AIDS organisations. I have, during this period, gradually come to the realisation that AIDS programs developed by international agencies and faith based organizations have been and continue to be more socially, politically, and moralistically correct than epidemiologically accurate.' - James Chin, in the Preface. 'Controversy and differing opinions have been hallmarks of the AIDS epidemic since its onset. The scope of the problem, how to identify high risk groups without increasing the burden of stigma, the safety of blood products, the best balance between prevention and treatment, have all been hot issues sometimes dividing the public health community. The passion and conflicts about how to consider and address the AIDS pandemic reflect the huge impact this disease has had globally and its interplay with macro economic, legal, social, political, national security and ethical domains. Vital, provocative, thoughtful, direct, passionate, rational and willing to challenge conventional wisdom. "The AIDS Pandemic" is filled with information, rational arguments and opinions, often intermingled. It is a rare book on epidemiology that puts so much of the author's personality and viewpoints, along with his knowledge and experience, before the reader. The result is a thought-provoking, likely-to-be-controversial, contribution to the AIDS literature that should engage and stimulate the reader.' - Jeffrey Koplan, in the Foreword.Table of ContentsPersonal and professional background. The most probable origin and initial global spread of HIV. A basic primer on HIV infections and AIDS cases (HIV/AIDS). HIV epidemiology and transmission dynamics. Calculation of the reproductive number of HIV and the probability of acquiring an HIV infection in female sex workers and in their male clients in the Philippines. Describing the analogy between factors needed for a forest fire and an HIV epidemic. Understanding HIV/AIDS numbers. EPIMODEL. How credible are HIV/AIDS estimates? HIV/AIDS prevention. Dispelling 'Glorious' HIV/AIDS myths and misconceptions. The most probable past, present, and future of the AIDS pandemic. The International response to the AIDS pandemic.
£39.99
Taylor & Francis Ltd Health Care Needs Assessment, First Series,
Book SynopsisHealth care needs assessment provides information to plan, negotiate and change services for the better, and to improve health in other ways. The first edition of this series established itself as a key source on health care needs for specific conditions supported by the Department of Health. Now in its second edition it provides vital updates taking into account how health care has moved on and how the structure of the UK's health service has changed. Each of the chapters follows the same structure; each analysing its topic, reviewing the incidence and prevalence, the range of services available, and the effectiveness of those services. It describes the central role and aim of health care needs assessment in the NHS health care reforms and explains the 'epidemiological approach' to needs assessment and its effectiveness. Volume 1 includes diabetes mellitus, renal disease, stroke, lower respiratory disease, coronary heart disease, colorectal cancer, cancer of the lung, osteoarthritis affecting the hip and knee, cataract surgery and groin hernia. Volume 2 includes varicose veins and venous ulcers, benign prostatic hyperplasia, severe mental illness, Alzheimer's disease, alcohol misuse, drug misuse, learning disabilities, community child health services and contraception, induced abortion and fertility services. All health professionals, including policy makers and shapers and those assessing quality of service will find this book an essential resource.Table of ContentsVolume 2. Varicose veins and venous ulcers. Lower urinary tract symptoms and the benign prostrate hyperplasia. Severe mental illness. Alzheimer's disease and other dementias. Alcohol misuse. Drug misuse. Learning disabilities. Community child health services. Contraception, induced abortion and fertility services. Reflections. Conclusions.
£137.75
Temple Lodge Publishing The Coronavirus Pandemic: Anthroposophical
Book SynopsisWhat lies at the root of the SARS-CoV-2 virus and the worldwide pandemic it has caused, affecting the health and livelihoods of untold millions of people? What are the deeper, spiritual realities behind COVID-19 and the global turmoil it has left in its trail? In an effort to answer these queries and many others put to her at the start of the pandemic, Judith von Halle composed two letters in March 2020, based on her own spiritual-scientific research. Published in this book together with an additional essay, she addresses questions such as: * Which entities stand behind the virus? * How and why does it affect human beings? * What measures can be taken for prevention and therapy? * What does the crisis mean to individuals and what possibilities does it offer for personal development? The author suggests that, apart from the material havoc triggered by coronavirus, the spiritual causes behind it are extremely serious and - if the present pandemic is not to be the first in a series of catastrophes - humanity is called upon to respond in a radically transformative way. In an additional article von Halle tackles the controversial issues relating to government lockdowns and the protest movements that have sprung up in opposition to them. How do these events point to real questions of individual freedom and, most importantly, how do they relate to the central event of our time - an event that, tragically, remains largely unknown? Revealing unexpected perspectives to the COVID-19 pandemic, Judith von Halle asks urgent and difficult questions and offers shattering insights for humanity's further development.Table of ContentsPreface - I. WHAT CAN ANTHROPOSOPHICAL SPIRITUAL SCIENCE CONTRIBUTE TO SARS-COV-2 AND COVID-19 RESEARCH? - The First Letter, Berlin, 22 March 2020 - 'Corona-Pandemic -Aspects and Perspectives' (Newsletter from the Medical Section of the Goetheanum) - About the 'Aspects' - About the 'Perspectives' - At Attempt at a Deeper Consideration of the Coronavirus Pandemic - About the Spiritual Cause of the SARS-CoV-2-Virus - On the Character of Bacteria - On the Character of Viruses - The Way SARS-CoV-2 Spreads - On the Symptoms of the COV-19 Illness - Spiritual Aspects - Commentary on Further Questions - II. QUESTIONS AND ANSWERS RELATING TO ESOTERIC SUPPORT FOR WORK IN THE BRANCH - The Second Letter, Berlin, 22 March 2020 - Publisher's Foreword - Overcoming Fear - How Intensifying Meditation Can be Helpful in These Times - What Does It Mean When People Can No Longer Meet? - Starting Point: Consistently Practise Soul Exercises - Suggestions for Spiritual Support for the Ongoing Work in the Branch - III. THE GREAT DIVERSIONARY MANOEUVRE - The Awareness of the Central Event of our Time, the Perception of the Christ Entity as an Etheric Phenomenon - Everything is Upside Down - Appendix: The Eight Soul Exercises by Rudolf Steiner - Notes
£12.99
Urban & Fischer/Elsevier Künstliche Intelligenz in der Medizin Anwendungen
Book Synopsis
£46.80
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Kuwait: Urban and Medical Ecology. A Geomedical Study
Book SynopsisThe developing countries are recelvmg generous Government Offices, and commercial organizations attention from experts, officials and academics drawn deserve our sincere thanks for their attention to our from a wide spectrum of specialist interests. Some of this many enquiries. In particular, we would like to thank effort is directed towards a solution of several of the the officials of the Planning Board and the Central world's most pressing problems, including ill-health, Statistical Office, Kuwait Municipality, University of under-nourishment, and rapid population growth, but Kuwait, and the Kuwait Oil Company. The following other workers are more concerned with the less immedi- individuals deserve our special thanks: Mr. Ahmad al- ate but nonetheless very significant theoretical aspects Duaij, Mr. Fouad al Hussaini, Mr. Hamid Shwaib, Mr. of the developing countries. This book is an attempt to Abdulaziz aI-Hamdan, Mr. Fouad Haddad, Mr. Ahmad bridge the gap between these two approaches. al-Haj, Mr. Marwan 'Adra', Mr. Muhammad Sukhon, At this present juncture in time we are faced with Professor Abdul Fattah Ismail, Professor Dawlat Sadiq, the realization that the experience of Europe or North Professor Muhammad Mutwalli, Dr. Muhammad Shar- nubi, His Excellency Ibrahim Shatti, Dr. Noel Brehony, America may be of limited assistance in the interpretation Professor W. B. Fisher, Dr. John Brebner, Dr. Alan of current trends in the developing world. Not only is Horan, Mrs.Table of ContentsThe relation of Kuwait’s development to Europe and Far East.- Discovery of oil reserves outside the Middle East.- Arab nationalism.- Great Britain’s responsibility.- Inapplicability of laws and generalizations of developed world.- General lessons of value to others.- Kuwait a testing ground.- 1. Urbanization and Population Growth in the Middle East.- 1. Definitions.- General statements on nature and causes of urbanization.- Historical connections.- Development of civilisations.- Technical innovations.- Sources of labour.- Population increase, food supplies, general educational advances.- 2. Middle East Urbanization: Extent and Special Characteristics.- United Nations’s statistics.- 3. Levels of Urbanization in the Middle East.- 4. Elements Peculiar to the Urbanization of the Middle East.- Social and political urbanization.- Defence role.- Religion.- Oil.- Investment capital.- Israel.- Foreign aid.- 5. Conclusion.- II. The Urbanization of Kuwait. Prosperity alternating with hardship.- 1. The Environment. Physical geography.- a) Summer.- b) Winter.- c) Daily weather.- 2. Water Resources.- a) Occurrence.- b) Development.- 3. Power.- 4. Agriculture.- a) Farmers.- b) Nomads.- 5. Fishing.- a) Pearling.- b) Fishing.- 6. Mineral Resources Industries.- Industries.- Distribution of labour force.- Restriction of economic opportunity.- III. The Early History of Kuwait.- IV. The Economic Development of Kuwait.- V. Population Growth in Kuwait. Twelve hundred per cent increase in 60 years.- 1. Introduction.- Preponderance of non-Kuwaitis.- Nationality law.- Duality of national life.- 2. Population Expansion by Immigration.- a) War-time immigration.- b) Post-war immigration.- c) Factors involved in immigration.- d) The Alien population 1957–1965.- aa) Sex ratios.- bb) Age structure.- e) Permanency of migration to Kuwait.- f) Arrivals after 1965.- 3. Population Expansion by Natural Increase. Introduction.- a) Vital statistics in Kuwait.- b) Natality, mortality and the population cycle.- c) Health facilities in Kuwait.- aa) Growth.- bb) Effect.- d) Age structure of the Kuwait population.- aa) The Kuwaitis.- bb) The Non-Kuwaitis.- e) Natality and fertility.- aa) Kuwaitis.- bb) Non-Kuwaitis.- f) Mortality.- aa) Kuwaitis.- bb) Non — Kuwaitis.- 4. Conclusions - Natural Increase.- a) Kuwaitis.- b) Non-Kuwaitis.- VI. The Ecology of Daily Life.- A. The Rural Community.- Agriculture.- Water resources.- Pastoral nomadism.- Cultural legacy of the Badu.- Religion, fasts and feasts.- Emphasis on kinship.- Hospitality, manners and modes.- B. The Urban Community.- Post-War Expansion of the Built up Area.- 1. Kuwait City Before Oil Discoveries.- a) Extent.- b) Internal characteristics and differentiation.- 2. Kuwait City after the Discovery of Oil.- Rising revenues and immigration.- 3. The Government Land Purchase Scheme.- 4. Planning and Urban Expansion.- a) The 1952 plan.- b) Physical expansion of the city structure.- c) Subsequent plans.- 5. The Contemporary City.- a) The Old City.- b) The Kuwait neighbourhoods.- c) Hawalli and Salimiya.- d) Abruq Khaitan and Farwaniya.- e) Ahmadi and Fahahil.- C. Population Distribution and Density within the Urban Areas.- 1. Changing Patterns of Population Distribution.- a) Before the first census.- b) Effects of oil discoveries.- c) Population distribution in 1957.- d) Population distribution in 1965.- D. Population Composition and Social Areas within Kuwait.- 1. “Western” and “non-Western” Cities.- 2. Land Use and Urban Ecology.- a) Methods.- b) Selection of variables.- 3. The Distribution of Individual Variables.- a) Kuwaitis and non-Kuwaitis.- b) Illiterates.- c) Employees in construction.- d) Professional and temnical workers.- e) Administrative workers.- 4. The Analysis of Groups of Variables.- a) Method.- b) Variables.- 5. The Factors: Their Composition and Distribution.- a) Factor composition.- b) The distribution of factors throughout Kuwait.- 6. The Geographic Distribution of Individual Factors.- 7. Combinations of all 3 Factors.- a) Group 1.- b) Group 2.- c) Group 3.- d) Group 4.- 8. Factor Analysis and the Structure of Kuwait City.- 9. Social Areas in Kuwait City.- a) The Old City and other areas of immigrant invasion.- b) Areas under construction with low-status immigrants.- c) Strongly Kuwaiti areas.- 10. International Parallels.- 11. Conclusion.- VII. Health and Disease.- 1. Introduction.- a) Pseudo-urbanization.- b) The health of the Badu.- c) Effects of urbanization.- d) Integration of planning for social and environmental manges.- e) The importance of integrating disciplines beyond fringe of medicine.- f) Adaptation of the individual to meet the new stresses.- g) Alterations in disease patterns.- h) Definition of Medical Geography.- 2. Specific Problems of Kuwait.- a) Training for responsibility.- b) Infectious disease.- c) Infant gastro-enteritis.- d) Kuwait as an epidemiological listening post.- e) Genetic disease.- f) Environmental influences.- g) Blindness.- VIII. Preventive Medicine in Kuwait.- 1. Preventive Medical Service.- a) Establishment: urban planning: water supplies; killing of animals.- b) Structure of Ministry of Public Health.- c) Growth of services.- d) Communications.- e) Health education.- f) Inspection of buildings and regulations.- g) Private industrially financed medical services of the oil companies.- 2. Infectious Diseases.- a) Comparison with other geographic areas.- b) Leprosy.- c) Hepatitis.- d) Rabies.- e) Malaria.- f) Poliomyelitis.- g) Bacillary Dysentery.- h) Amoebic Dysentery.- i) Worms.- j) Schistosomiasis.- 3. School Medical Services.- a) School population.- b) Development of service.- c) Epidemiology.- d) Nutrition.- IX. Treatment Services.- 1. Traditional Medicine.- a) Badu practices.- b) Branding.- c) The history of Arabian medicine.- d) The Nestorians and Persians.- 2. Modern Treatment Services.- a) European influence in the Gulf.- b) The Political Agency and the American Mission.- c) The Government and oil companies.- d) Professional medical associations.- e) Medical facilities and services.- f) Laboratory services.- g) Tuberculosis diagnostic laboratory.- h) Blood transfusion services.- i) Relative paucity of published clinical eports until 1968.- X. Trauma, Temperance, Tuberculosis and Toxoplasmosis.- 1. Trauma.- a) War and wounds.- The last battle of Jahra 1920.- Dr. Mylrea’s account.- b) Deaths and accidents on the roads.- c) Statistics.- Industrial and domestic accidents.- 2. Temperance.- Religious law and alcohol.- Different countries’ experience.- Prohibition in Kuwait.- The position for non-Moslems.- Illegal distilling.- Smuggling.- Effects of alcohol intoxication.- 3. Tuberculosis.- Experience of the Badu.- Infection in older people.- Population sampling.- Treatment facilities.- Visit of WHO in 1961.- B.C.G. vaccination.- Conversion rates.- Non -pulmonary tuberculosis.- 4. Toxoplasmosis.- Epidemiology elsewhere.- The study in Kuwait.- Clinical findings.- Significance of endemicity in local sheep and goats.- XI. Psychiatric Illness.- The pattern in Kuwait.- Traditional practices.- Hospital facilities.- Incidence of disease.- Use of drugs.- Sexual deviation and homosexuality.- Emancipation of women and psychoneurotic effects.- The effects of industrialisation.- XII. The Haemoglobinopathies.- 1. First Recognition in Kuwait.- World distribution.- Source of Kuwait’s population; migrations.- 2. Sickle-Cell Anaemia.- 3. Thalassaemia: definition.- Clinical and laboratory studies: treatment.- 4. Glucose-6-Phosphate Dehydrogenase Deficiency of the Red Blood Cells.- XIII. Heat Illness and Desert Survival.- Comparative physiology in man and animals.- The Badu: conservation of energy, comfort and discipline.- Heat gain and loss.- Investigations in Kuwait, and elsewhere on the Badu.- Types of heat illness.- Heat-illness among oil tanker crews.- Heat-stroke in Kuwait.- Steps taken to combat effects of heat stroke.- Factors affecting heat control.- XIV. Occupational Health.- 1. Epidemiology.- Development of government and oil company services.- Establishment of standards.- Liaison with I.L.O. and other countries.- Education of doctors and other health workers.- 2. Petroleum and its Hazards to Health in Kuwait.- The history of petroleum and its development.- Use and destination of Kuwait products.- Use of natural gas.- Medical uses of petroleum.- Hazards of petroleum manufacturing to workers and public; explosive and toxic.- Additive effects of sun and petroleum on skin.- Possible long-term carcinogenic effects on various body organs.- 3. Secondary Industries.- Development and pattern.- Asbestos.- Training for industry.- Health education.- XV. Air Pollution.- The desert air, sand, dusts, spores and fungi.- Cigarette.- Urban planning.- Industrial air pollution.- Petroleum products, combustion.- Legislation.- WHO advice.- Investigations of pollen production, Prosopis spicigera.- Air-conditioning of houses.- Atmospheric ionisation.- XVI. Conclusion.- Comparision of urbanization today with nineteenth century Europe.- Kuwait’s anomalous development in Eastern Arabia.- The intrusion of “foreigners” and internal schisms.- Disease as a measure of the problem.- The danger of dualism.- The lessons of enlightened colonialism.- Kuwait’s limited man-power pool.- Diversification of trade and industry.- Oil as a political weapon.- Need for an understanding of ecology by Kuwait’s children.- The problems of citizenship.- The importance of a “cross-cultural” outlook.- Kuwait as a study of enlightened development.- References.- Illustrations.
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Viren!: Helfer, Feinde, Lebenskünstler - in 101
Book SynopsisEinblicke in einer verborgene WeltViren sind Grenzgänger des Lebens. Mikroskopisch klein, als Krankheitserreger gefürchtet, doch in ihrer Vielfalt und in ihrer Bedeutung für die biologischen Netzwerke auf der Erde und für die Evolution des Lebens erst ansatzweise verstanden - und immer wieder für Überraschungen gut. Viren sind Opportunisten, die oft geduldig auf ihre Chance warten - in Ruhestadien oder eingebettet in das Erbgut ihrer Wirte -, und Meister der Anpassung. Ihre Vermehrungsstrategien und Übertragungsmechanismen sind so vielfältig wie ihre Erscheinungsformen. Die meisten Viren sind "nur" Nucleinsäuren in einer Proteinhülle, aber sie kapern Pflanzen-, Tier- und Bakterienzellen, nisten sich dort langfristig ein oder übernehmen unmittelbar die genetische Kontrolle. Dieser Band eröffnet einen faszinierenden Blick auf das ganze Panorama dieser Lebenskünstler, die wir gewöhnlich als Feinde betrachten, die aber auch Helfer sein können. Nach einer Einführung in die Grundlagen der Virologie - was genau sind Viren, woraus bestehen sie, wie sehen ihre Lebenszyklen aus, welche Evolutionspfade haben sie beschritten? - liefern 101 Porträts detaillierte Einblicke in die besonderen Eigenschaften und Fähigkeiten einzelner Virustypen, vom Grippeerreger bis zum Bakteriophagen T4, vom Tabakmosaikvirus bis zu den gefürchteten Ebola-, Zika- und Dengue-Viren.Trade Review“... Basisinformationen zum jeweiligen Virus vermittelt eine kurze, aber prägnante und äußerst verständliche Beschreibung. Übersichtliche und einprägsame Zeichnungen erleichtern das Verständnis bestimmter Besonderheiten. Zahlreiche Aufnahmen von Viren lassen sie bei allem Schrecken, den sie verursachen können, in ganz neuem Bild erscheinen.” (Dr. Thomas Patzelt, Hehlen, in: Rundschau für Fleischhygiene und Lebensmittelüberwachung RLF, Jg. 73, Februar 2021)Table of ContentsViren des Menschen.- Viren der Wirbeltiere.- Viren der Pflanzen.- Viren der Wirbellosen.- Viren der Pilze und Protisten.- Viren der Bakterien und Archaeen.
£29.99
Schwabe Verlagsgruppe AG 11. Und 12. Jahrhundert
£206.25
Nomos Verlagsgesellschaft Epidemiologie
Book Synopsis
£22.80
University of Chicago Press Epidemic Invasions Yellow Fever and the Limits
Book SynopsisOriginating in Cuba in 1897, yellow fever shuttered businesses, paralyzed trade, and caused tens of thousand of people living in the southern United States to abandon their homes and flee for their lives. This title uncovers how the devastating power of this virus profoundly shaped the relationship between the two countries.Trade Review"This elegant study not only reshapes our understandings of U.S.-Cuban relations but also forces us to rethink the broader history of U.S. public health interventions all over the world. It is a model for doing transnational history." - Paul Sutter, University of Colorado"
£26.00
The University of Chicago Press A Plague of Paradoxes
Book SynopsisPresents an extended case study of the 20th-century AIDS epidemic and the cultural circumstances from which it emerged. The book brings together anthropology, demography and epidemiology to explain how the Chagga people of Tanzania in Africa experience AIDS.
£27.00
Columbia University Press Hyping Health Risks
Book SynopsisThe media constantly bombard us with news of the health hazards that lurk in our everyday lives. But, many of these hazards, even some that provoke regulatory action, have been greatly overblown. This book examines the forces that contribute to health scares and economic, political, and psychological consequences of their "social amplification."Trade ReviewThe book can engage and enlighten regarding the complex context in which known and suspected health risks are identified, explored, and acted on. -- Barbara Gastel, M.D., M.P.H The New England Journal of Medicine A strong, valuable corrective to public understanding of the debate of environmental hazards... Highly Recommended. CHOICE Reading and reflecting on the thesis of this book can only help epidemiologists be more aware of our place in society and thus be more effective contributors. -- David A. Savitz American Journal of Epidemiology With clarity and dispassion, Geoffrey C. Kabat challenges widespread beliefs that secondhand smoke, low levels of radon, and other ostensible environmental nemeses are certain killers. In making his case, Kabat draws extensively on scientific evidence while shunning rhetoric and political posturing. The result is an admirable search for scientific truth amid a sea of conflicting and often uninformed opinions. -- Leonard Cole, Rutgers University Geoffrey C. Kabat, a respected epidemiologist, provides an insider's account of how a number of ostensible health hazards have been blown out of proportion. While we face a daily barrage of health scares, Kabat cuts through the confusion and provides a lucid and rigorous rationale for rejecting much of the fear culture that permeates our society. -- Shelly Ungar, University of Toronto This book does an exceptionally good job, first by putting epidemiology within the context of public health and then by explaining key terms, concepts, and methods. It provides a penetrating treatment of a difficult and complex subject in a readily understandable way. -- Steven D. Stellman, Mailman School of Public Health, Columbia University "Kabat, who wrote Hyping Health Risks--a fascinating and detailed examination of how we fell for certain, illusory environmental hazards--is possibly the only epidemiologist in the world to have also published a book on Dostoyevsky (he got a Ph.D in Russian and comparative literature from Columbia before switching tracks). And the background in literary analysis and theory adds a crucial ability to explain why we, as a society, are prone to turning hypothetical risks into "social facts." The upshot is that most public alarms about health risks dispense with the tools required to make sense of the alarm--and we end up with "disembodied findings" and ideology." -- Trevor Butterworth Forbes "Health scares come and go, but they often have a tenuous scientific basis. Kabat, a cancer epidemiologist, systematically rips through cancer alerts that overrode scientific rigor in recent decades. In so doing, he dispels the dubious science underlying the scares and explains how public confusion can come about. ... He extends his critique to debates linking radon gas exposure and secondhand cigarette smoke exposure to lung cancer. Those chapters will ruffle some feathers, but Kabat is unafraid of controversy." -- Nathan Seppa ScienceNews rich and valuable... -- Trevor Butterworth Forbes.comTable of ContentsPreface Abbreviations 1. introduction: Toward a Sociology of Health Hazards in Daily Life 2. Epidemiology: Its Uses, Strengths, and Limitations 3. Does the Environment Cause Breast Cancer? 4. Electromagnetic Fields: The Rise and Fall of a "Pervasive Threat" 5. The Science and Politics of Residential Radon 6. The Controversy Over Passive Smoking: A Casualty of the "Tobacco Wars" 7. Conclusion Appendix A: List of Interviews Appendix B: How Findings Can Be Reported in a Way That Puts Them in Perspective Notes Glossary Bibliography Credits Index
£79.20
Columbia University Press Hyping Health Risks
Book SynopsisTrade ReviewThe book can engage and enlighten regarding the complex context in which known and suspected health risks are identified, explored, and acted on. -- Barbara Gastel, M.D., M.P.H The New England Journal of Medicine A strong, valuable corrective to public understanding of the debate of environmental hazards... Highly Recommended. CHOICE Reading and reflecting on the thesis of this book can only help epidemiologists be more aware of our place in society and thus be more effective contributors. -- David A. Savitz American Journal of Epidemiology With clarity and dispassion, Geoffrey C. Kabat challenges widespread beliefs that secondhand smoke, low levels of radon, and other ostensible environmental nemeses are certain killers. In making his case, Kabat draws extensively on scientific evidence while shunning rhetoric and political posturing. The result is an admirable search for scientific truth amid a sea of conflicting and often uninformed opinions. -- Leonard Cole, Rutgers University Geoffrey C. Kabat, a respected epidemiologist, provides an insider's account of how a number of ostensible health hazards have been blown out of proportion. While we face a daily barrage of health scares, Kabat cuts through the confusion and provides a lucid and rigorous rationale for rejecting much of the fear culture that permeates our society. -- Shelly Ungar, University of Toronto This book does an exceptionally good job, first by putting epidemiology within the context of public health and then by explaining key terms, concepts, and methods. It provides a penetrating treatment of a difficult and complex subject in a readily understandable way. -- Steven D. Stellman, Mailman School of Public Health, Columbia University "Kabat, who wrote Hyping Health Risks--a fascinating and detailed examination of how we fell for certain, illusory environmental hazards--is possibly the only epidemiologist in the world to have also published a book on Dostoyevsky (he got a Ph.D in Russian and comparative literature from Columbia before switching tracks). And the background in literary analysis and theory adds a crucial ability to explain why we, as a society, are prone to turning hypothetical risks into "social facts." The upshot is that most public alarms about health risks dispense with the tools required to make sense of the alarm--and we end up with "disembodied findings" and ideology." -- Trevor Butterworth Forbes "Health scares come and go, but they often have a tenuous scientific basis. Kabat, a cancer epidemiologist, systematically rips through cancer alerts that overrode scientific rigor in recent decades. In so doing, he dispels the dubious science underlying the scares and explains how public confusion can come about. ... He extends his critique to debates linking radon gas exposure and secondhand cigarette smoke exposure to lung cancer. Those chapters will ruffle some feathers, but Kabat is unafraid of controversy." -- Nathan Seppa ScienceNews rich and valuable... -- Trevor Butterworth Forbes.comTable of ContentsPreface Abbreviations 1. introduction: Toward a Sociology of Health Hazards in Daily Life 2. Epidemiology: Its Uses, Strengths, and Limitations 3. Does the Environment Cause Breast Cancer? 4. Electromagnetic Fields: The Rise and Fall of a "Pervasive Threat" 5. The Science and Politics of Residential Radon 6. The Controversy Over Passive Smoking: A Casualty of the "Tobacco Wars" 7. Conclusion Appendix A: List of Interviews Appendix B: How Findings Can Be Reported in a Way That Puts Them in Perspective Notes Glossary Bibliography Credits Index
£25.20
Columbia University Press The Alchemy of Disease
Book SynopsisIn The Alchemy of Disease, John Whysner offers an accessible and compelling history of toxicology and its key findings. He details the experiments and discoveries that revealed the causal connections between chemical exposures and diseases.Trade ReviewThe field of toxicology has become increasingly sophisticated as our knowledge of biology continues to evolve. As a scientist, it is enjoyable to read how John Whysner presents the information, and I have no doubt that the general public and students will find it equally enjoyable and informative. -- Samuel M. Cohen, Havlik-Wall Professor of Oncology, University of Nebraska Medical CenterI often tell students in the biological sciences that the best way to learn about a topic is not just to learn what knowledge has been discovered, but rather how the discoveries were made. Whysner’s scholarly yet reader-friendly book reads like a series of fascinating stories derived from his lifetime of experience in the world of toxicology and public health, and what a storyteller he is! The book shows him to be a remarkable science historian as each link between chemical exposures and human diseases is placed in a captivating historical context. The extent to which Whysner has been intimately involved in major discoveries is absolutely mind-boggling. -- Joseph H. Graziano, Mailman School of Public Health, Columbia UniversityWhysner provides an honest evaluation of the science of toxicology, engaging readers with fascinating, well-paced narratives of subjects such as chronic arsenic poisoning. -- Katherine Watson, Oxford Brookes UniversityWhysner's book is a valuable addition to the history of toxicology and allied fields, as it benefits from the institutional knowledge of a professional working in the field of toxicology for five decades. The author brings to light technical aspects of the science that some may not be aware of, especially concepts of risk assessment, dose response, and links between cancer rates and the reality of the state of the science. -- Dale A. Stirling, Consultant in Environmental & Public Health History and author of The Nanotechnology Revolution: A Global Bibliographic Perspective and A Bibliographic Guide to North American Industry: History, Health & Hazardous WasteWhysner ... delivers an illuminating overview of the history of toxicology. Serious students of medical history will appreciate this detailed, historical account of toxicology’s contributions to better health. * Publisher's Weekly *We all have only so much time on this Earth and so much to learn. This fine book presents an efficient and highly enjoyable way to learn the principles and history of the monumental subject of toxicology. -- Judge Lawrence P. Riff * Los Angeles Daily Journal *Table of ContentsAcknowledgmentsIntroductionPart I: Why Do We Need Toxicology?1. Cancer Clusters: Truth Can Be Obscure2. Death from Arsenic and Venoms: Truth Can Be Obvious3. Paracelsus: The Alchemist at Work4. Mining and the Beginnings of Occupational Medicine5. The Chemical Age6. The Bioassay BoomPart II: How Do We Study Toxicology, and What Have We Learned?7. Lead: A Heavy Metal Weighing Down the Brain8. Rachel Carson: Silent Spring Is Now Noisy Summer9. The Study of Cancer10. How Are Carcinogens Made?11. Some Carcinogens Directly Affect Genes12. Cancer Caused by Irritation13. Cigarette Smoking: Black, Tarry Lungs14. What Causes Cancer?Part III: How Do We Use Toxicology?15. Protecting Workers from Chemical Diseases16. The Importance of Having a Good Name17. Can We Accurately Regulate Chemicals?18. The Dose Makes the Poison19. Are We Ready to Clean Up the Mess?20. Legal Battles21. The Toxicology of WarPart IV: The Unfinished Business of Toxicology22. Opiates and Politics23. The Toxicology of Climate Change24. Animal Models for Human Disease25. Are Animal Cancer Bioassays Reliable?26. Hormone Mimics and Disrupters27. Building Better Tools for Testing28. An Ounce of Prevention Is Worth a Pound of CureNotesIndex
£27.00
MP-WIS Uni of Wisconsin Conquest of Epidemic Disease A Chapter in the
Book SynopsisTrade ReviewFrom the 1943 reviews:"This book is more than a compendium of data and references from the Old Testament theory of pestilence as a punishment for sin, through the days of demons, miasms, and germs, down to the streamlined concepts of the virus diseases and the new views concerning aerial dissemination of infection. It is an interesting and highly instructive story, rich with the author's interpretations of knowledge regarding the modes and channels of disease spread." —American Journal of Public Health"[This book] will give medical historians matter for discussion . . . the book is for them, really, and for the medical student, who will find in these pages, perhaps for the first time, why the best minds in medicine so delight in the history of its stumbling progress . . . A book nobly concieved, nobly planned, and beautifully written." —Commonweal
£14.20
Yale University Press The Conquest of Malaria
Book SynopsisTrade Review"Snowden's study...is a remarkable piece of historical work. Original, crystal-clear, analytical and passionate, Snowden...takes us to areas historians have rarely visited before. ... This magnificent study, beautifully written and impeccably documented, deserves an audience beyond specialists in history, or in Italy." - John Foot, The GuardianThe Guardian Book of the Week - Saturday 8th April 2006"In The Conquest of Malaria, Snowden traces the early advances, the setbacks of world wars and Fascist dictatorship, and the final victory against malaria after World War II. . . . Comprehensive and enlightening, The Conquest of Malaria also offers important lessons of today's global malaria emergency."—Italian Tribune“Frank Snowden has drawn on neglected Italian sources to produce a detailed account of the protracted struggle to bring malaria under control in Italy. The Conquest of Malaria is an important contribution to the malaria literature. … [An] excellent book…” - Brian Greenwood, Nature"Frank Snowdon's excellent book provides an insightful and illuminating account of how one nation—Italy—undertook the first national campaign to eradicate this debilitating disease. More importantly, The Conquest of Malaria serves as a timely warning to those who advocate simple technological quick fixes to what was (and still is) a complex environmental, social, economic, and political problem."—Andrea Rusnock, IsisWinner of the 2006 Helen and Howard R. Marraro Prize given by the American Historical AssociationWinner of the 2008 Welch Medal, given by the American Association for the History of Medicine.Winner of the 2007 Malaria Award for Book of the Year given by Malaria Foundation International"With this book, Snowden achieves two difficult goals. He demonstrates how important malaria was to the political and social history of Italy to the mid-twentieth century, an aspect of the country’s course underappreciated by its historians. Perhaps more importantly, he has crafted a marvelously detailed case study in the control of malaria, that shows how closely intertwined are the environmental, medical, social and political features of a landscape that nurtures the disease. Whether describing the temporary Fascist victory over malaria in the Pontine Marshes or the deliberate creation of malarial epidemics by retreating Nazis, Snowden’s lively account convinces the reader that as malaria goes, so goes Italy. This is a first rate, valuable book that belongs on the shelf of historian and malariologist alike."—Dr. Margaret Humphreys, Professor of History, Duke University"Frank Snowden's research on Italy's battle against malaria combines a mastery of the scientific literature with a profound understanding of the laws of motion of Italian society and politics."—John Dickie, author of Cosa Nostra: A History of the Italian Mafia“Frank Snowden’s study of the scourge and final eradication of malaria in Italy is a masterpiece. Rigorous, passionate, and highly original, it deserves a wide audience amongst historians and students.”—John Foot, reader in Modern Italian History, Department of Italian, University College London"A highly original and authoritative reconstruction of Italy's historic and sometimes tragic battle with malaria; in its historical sweep, this book brilliantly conceptualizes disease within a political landscape that includes socialists, liberals, feminists, and fascists. A model for research on the history of medicine."—Mary Gibson, City University of New York
£21.38
WW Norton & Co Black Death at the Golden Gate
Book SynopsisA spine-chilling saga of virulent racism, human folly and the ultimate triumph of scientific progress.Trade Review"David K. Randall has created a meticulously researched history that unfolds like a thriller. I raced through this book in two days (horribly, the span of time it took bubonic plague to fell a victim). The unlikely heroes—bacteriologists and public health officers with long, flowing beards—battle villains most vile: racism, rotten politics, disregard for science, and Yersinia pestis. Black Death at the Golden Gate is both a page-turner and a cautionary tale: Those villains still lurk." -- Mary Roach"Randall’s account is pacy and gripping. And his examination of the conflicts, prejudices and priorities involved make for sober reading in a world where Ebola clinics are being torched and anti-vaccination movements threaten a resurgence in diseases such as measles." -- Nature
£19.94
John Wiley & Sons Inc The Epidemiology of Diabetes Mellitus An
Book SynopsisThe Epidemiology of Diabetes Mellitus provides a unique, overall assessment of diabetes prevalence with detailed discussion of the impact of the disease in all geographic regions, including Africa, South-East Asia, India, China, and the Caribbean and Pacific Islands.Trade Review"Highly referenced. Recommended to all diabetologists and epidemiologists" (Pediatric Endocrinology, May 2009)Table of ContentsAbout the Editors. Contributors. Foreword. Acknowledgments. 1: Introduction (Jean-Marie Eko´e, Marian Rewers, Rhys Williams and Paul Z. Zimmet). 2: The Clinical Syndrome and the Biochemical Definition (Jean-Marie Eko´e, Paul Z. Zimmet and Jean-Francois Yale). 3: Diagnosis and Classification (Jean-Marie. Eko´e and Paul Z. Zimmet). 4: Epidemiology of Metabolic Syndrome (Dianna J. Magliano, Adrian Cameron, Jonathan E. Shaw and Paul Z. Zimmet). 5: Obesity and Diabetes (Rachel Huxley, Abdullah Omari and Ian D. Caterson). 6: Methodology for Physical Activity Assessment (Kristi L. Storti, Edward W. Gregg and Andrea M. Kriska). 7: Epidemiology of Nutrition and Diabetes Mellitus: Etiology and Environmental Factors (Jim Mann and Monika Toeller). 8: Genetic Epidemiology of Type 2 Diabetes (Leif Groop, Valeriya Lyssenko, Charlotte Ling and Marju Orho-Melander). 9: Epidemiologic Aspects of Type 2 Diabetes Mellitus in Europe (Harry Keen). 10: The Burden of Diabetes and its Complications in theMiddle East and Eastern Mediterranean Region (Imad M. El-Kebbi and Michael M. Engelgau). 11: Epidemiology of Diabetes in Africa (Ayesha A. Motala, Mahomed A. K. Omar and Fraser J. Pirie). 12: Epidemiology of Diabetes Mellitus in Latin America (La´ercio J. Franco and Sandra R. G. Ferreira). 13: Diabetes in the Caribbean . . . an Epidemiological Review! (Errol Morrison and Dalip Ragoobirsingh). 14: Japan (Naoko Tajima). 15: Epidemiology of Diabetes Mellitus in China (Juliana C. N. Chan and Clive S. Cockram). 16: Epidemiology of Diabetes in South East Asia (Ambady Ramachandran and Chamukuttan Snehalatha). 17: The Epidemiology of Diabetes in Pacific Island Populations (Stephen Colagiuri, Taniela Palu, Satupaitea Viali, Zafiml Hussain and Ruth Colagiuri). 18: Epidemiology of Type 2 Diabetes in North America (Linda S. Geiss, Jing Wang, Edward W. Gregg and Michael M. Engelgau). 19: Non-Caucasian North American Populations: Native Americans (Meda E. Pavkov, K. M. Venkat Narayan, Robert G. Nelson, Robert L. Hanson and William C. Knowler). 20: Epidemiology of Type 2 Diabetes in Hispanic North Americans (Judith Baxter and Richard F. Hamman). 21: Non-Caucasian North American Populations: African Americans (Mary A. Banerji and Harold Lebovitz). 22: Epidemiology of Diabetes in Asian North Americans (Marguerite J. McNeely and Wilfred Y. Fujimoto). 23: Epidemiology of Type 2 Diabetes in Children and Adolescents (Jonathan E. Shaw and Dana M. Dabelea). 24: Global Epidemiology of Type 1 Diabetes (Lars C. Stene, Jaakko Tuomilehto and Marian Rewers). 25: Epidemiology of Childhood Diabetes Mellitus in Non-Caucasian Populations (Rebecca B. Lipton). 26: Genetic Epidemiology of Type 1 Diabetes Mellitus (Kirsten O. Kyvik and Anders Green). 27: Recent Trends in Screening and Prevention of Type 1 Diabetes (Marian Rewers). 28: Non pharmacological Prevention of Type 2 Diabetes (Jaakko Tuomilehto). 29: Pharmacological Prevention of Type 2 Diabetes (Andr´e J. Scheen). 30: The Epidemiology of Eye Diseases in Diabetes (Tien Y. Wong and Ron Klein). 31: The Epidemiology of Diabetic Kidney Disease )Anne T. Reutens, Louise Prentice and Robert C. Atkins). 32: Epidemiology of Large-vessel Disease in Diabetes: Coronary Heart Disease and Stroke (Elizabeth Barrett-Connor). 33: The Epidemiology of Peripheral Vascular Disease (Nalini Singh, Stephanie Wheeler and Edward J. Boyko). 34: Epidemiology of Diabetic Neuropathy (Andrew J. M. Boulton). 35: Epidemiology of Acute Complications: Diabetic Ketoacidosis, Hyperglycemic Hyperosmolar State and Hypoglycemia (Alberta B. Rewers). 36: Mortality and Life Expectancy Associated with Diabetes (Elizabeth L. M. Barr, Paul Z. Zimmet and Jonathan E. Shaw). 37: Economic Costs (Rhys Williams and Thomas J. Songer). 38: Clinical Practice Guidelines: A Global Perspective (Barbara Currie, Ehud Ur and Thomas Ransom). 39: Antipsychotic Therapies and Glucose Dysregulation in the Mental Illness Population (Gilbert L’Italien and John Newcomer). 40: Diabetes, Insulin Resistance and Glucose Metabolism in HIV Infection and its Treatment (Kathy Samaras and Don J. Chisholm). Index.
£206.06
John Wiley & Sons Inc Bayesian Biostatistics
Book Synopsis* This book provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementations, with an emphasis on healthcare techniques. * Contains introductory explanations of Bayesian principles common to all areas.Trade Review“In conclusion, we consider the book by Lesaffre and Lawson a noteworthy contribution to the dissemination of Bayesian methods, and a good manual of reference for many common and some specialized applications in biomedical research. The great variety of examples and topics covered offers both advantages and disadvantages. Some parts might be too specialized for statistics students, but lecturers and applied statisticians will benefit a lot from the authors’ wealth of experience.” (Biometrical Journal, 15 July 2013) “The book Bayesian Biostatisticsby Lesaffre and Lawson, is a welcoming addition to this important area of research in biostatistical applications. For example, in the area of clinical trials, Bayesian methods provide flexibility and benefits for incorporating historical data with current data and then using the resulting posterior to make probability statements for different outcomes”.(Journal of Biopharmaceutical Statistics, 1 January 2013) Table of ContentsPreface xiii Notation, terminology and some guidance for reading the book xvii Part I Basic Concepts in Bayesian Methods 1 Modes of statistical inference 3 1.1 The frequentist approach: A critical reflection 4 1.1.1 The classical statistical approach 4 1.1.2 The P-value as a measure of evidence 5 1.1.3 The confidence interval as a measure of evidence 8 1.1.4 An historical note on the two frequentist paradigms∗ 8 1.2 Statistical inference based on the likelihood function 10 1.2.1 The likelihood function 10 1.2.2 The likelihood principles 11 1.3 The Bayesian approach: Some basic ideas 14 1.3.1 Introduction 14 1.3.2 Bayes theorem – discrete version for simple events 15 1.4 Outlook 18 Exercises 19 2 Bayes theorem: Computing the posterior distribution 20 2.1 Introduction 20 2.2 Bayes theorem – the binary version 20 2.3 Probability in a Bayesian context 21 2.4 Bayes theorem – the categorical version 22 2.5 Bayes theorem – the continuous version 23 2.6 The binomial case 24 2.7 The Gaussian case 30 2.8 The Poisson case 36 2.9 The prior and posterior distribution of h(θ) 40 2.10 Bayesian versus likelihood approach 40 2.11 Bayesian versus frequentist approach 41 2.12 The different modes of the Bayesian approach 41 2.13 An historical note on the Bayesian approach 42 2.14 Closing remarks 44 Exercises 44 3 Introduction to Bayesian inference 46 3.1 Introduction 46 3.2 Summarizing the posterior by probabilities 46 3.3 Posterior summary measures 47 3.3.1 Characterizing the location and variability of the posterior distribution 47 3.3.2 Posterior interval estimation 49 3.4 Predictive distributions 51 3.4.1 The frequentist approach to prediction 52 3.4.2 The Bayesian approach to prediction 53 3.4.3 Applications 54 3.5 Exchangeability 58 3.6 A normal approximation to the posterior 60 3.6.1 A Bayesian analysis based on a normal approximation to the likelihood 60 3.6.2 Asymptotic properties of the posterior distribution 62 3.7 Numerical techniques to determine the posterior 63 3.7.1 Numerical integration 63 3.7.2 Sampling from the posterior 65 3.7.3 Choice of posterior summary measures 72 3.8 Bayesian hypothesis testing 72 3.8.1 Inference based on credible intervals 72 3.8.2 The Bayes factor 74 3.8.3 Bayesian versus frequentist hypothesis testing 76 3.9 Closing remarks 78 Exercises 79 4 More than one parameter 82 4.1 Introduction 82 4.2 Joint versus marginal posterior inference 83 4.3 The normal distribution with μ and σ2 unknown 83 4.3.1 No prior knowledge on μ and σ2 is available 84 4.3.2 An historical study is available 86 4.3.3 Expert knowledge is available 88 4.4 Multivariate distributions 89 4.4.1 The multivariate normal and related distributions 89 4.4.2 The multinomial distribution 90 4.5 Frequentist properties of Bayesian inference 92 4.6 Sampling from the posterior distribution: The Method of Composition 93 4.7 Bayesian linear regression models 96 4.7.1 The frequentist approach to linear regression 96 4.7.2 A noninformative Bayesian linear regression model 97 4.7.3 Posterior summary measures for the linear regression model 98 4.7.4 Sampling from the posterior distribution 99 4.7.5 An informative Bayesian linear regression model 101 4.8 Bayesian generalized linear models 101 4.9 More complex regression models 102 4.10 Closing remarks 102 Exercises 102 5 Choosing the prior distribution 104 5.1 Introduction 104 5.2 The sequential use of Bayes theorem 104 5.3 Conjugate prior distributions 106 5.3.1 Univariate data distributions 106 5.3.2 Normal distribution – mean and variance unknown 109 5.3.3 Multivariate data distributions 110 5.3.4 Conditional conjugate and semiconjugate distributions 111 5.3.5 Hyperpriors 112 5.4 Noninformative prior distributions 113 5.4.1 Introduction 113 5.4.2 Expressing ignorance 114 5.4.3 General principles to choose noninformative priors 115 5.4.4 Improper prior distributions 119 5.4.5 Weak/vague priors 120 5.5 Informative prior distributions 121 5.5.1 Introduction 121 5.5.2 Data-based prior distributions 121 5.5.3 Elicitation of prior knowledge 122 5.5.4 Archetypal prior distributions 126 5.6 Prior distributions for regression models 129 5.6.1 Normal linear regression 129 5.6.2 Generalized linear models 131 5.6.3 Specification of priors in Bayesian software 134 5.7 Modeling priors 134 5.8 Other regression models 136 5.9 Closing remarks 136 Exercises 137 6 Markov chain Monte Carlo sampling 139 6.1 Introduction 139 6.2 The Gibbs sampler 140 6.2.1 The bivariate Gibbs sampler 140 6.2.2 The general Gibbs sampler 146 6.2.3 Remarks∗ 150 6.2.4 Review of Gibbs sampling approaches 152 6.2.5 The Slice sampler∗ 153 6.3 The Metropolis(–Hastings) algorithm 154 6.3.1 The Metropolis algorithm 155 6.3.2 The Metropolis–Hastings algorithm 157 6.3.3 Remarks∗ 159 6.3.4 Review of Metropolis(–Hastings) approaches 161 6.4 Justification of the MCMC approaches∗ 162 6.4.1 Properties of the MH algorithm 164 6.4.2 Properties of the Gibbs sampler 165 6.5 Choice of the sampler 165 6.6 The Reversible Jump MCMC algorithm∗ 168 6.7 Closing remarks 172 Exercises 173 7 Assessing and improving convergence of the Markov chain 175 7.1 Introduction 175 7.2 Assessing convergence of a Markov chain 176 7.2.1 Definition of convergence for a Markov chain 176 7.2.2 Checking convergence of the Markov chain 176 7.2.3 Graphical approaches to assess convergence 177 7.2.4 Formal diagnostic tests 180 7.2.5 Computing the Monte Carlo standard error 186 7.2.6 Practical experience with the formal diagnostic procedures 188 7.3 Accelerating convergence 189 7.3.1 Introduction 189 7.3.2 Acceleration techniques 189 7.4 Practical guidelines for assessing and accelerating convergence 194 7.5 Data augmentation 195 7.6 Closing remarks 200 Exercises 201 8 Software 202 8.1 WinBUGS and related software 202 8.1.1 A first analysis 203 8.1.2 Information on samplers 206 8.1.3 Assessing and accelerating convergence 207 8.1.4 Vector and matrix manipulations 208 8.1.5 Working in batch mode 210 8.1.6 Troubleshooting 212 8.1.7 Directed acyclic graphs 212 8.1.8 Add-on modules: GeoBUGS and PKBUGS 214 8.1.9 Related software 214 8.2 Bayesian analysis using SAS 215 8.2.1 Analysis using procedure GENMOD 215 8.2.2 Analysis using procedure MCMC 217 8.2.3 Other Bayesian programs 220 8.3 Additional Bayesian software and comparisons 221 8.3.1 Additional Bayesian software 221 8.3.2 Comparison of Bayesian software 222 8.4 Closing remarks 222 Exercises 223 Part II Bayesian Tools for Statistical Modeling 9 Hierarchical models 227 9.1 Introduction 227 9.2 The Poisson-gamma hierarchical model 228 9.2.1 Introduction 228 9.2.2 Model specification 229 9.2.3 Posterior distributions 231 9.2.4 Estimating the parameters 232 9.2.5 Posterior predictive distributions 237 9.3 Full versus empirical Bayesian approach 238 9.4 Gaussian hierarchical models 240 9.4.1 Introduction 240 9.4.2 The Gaussian hierarchical model 240 9.4.3 Estimating the parameters 241 9.4.4 Posterior predictive distributions 243 9.4.5 Comparison of FB and EB approach 244 9.5 Mixed models 244 9.5.1 Introduction 244 9.5.2 The linear mixed model 244 9.5.3 The generalized linear mixed model 248 9.5.4 Nonlinear mixed models 253 9.5.5 Some further extensions 256 9.5.6 Estimation of the random effects and posterior predictive distributions 256 9.5.7 Choice of the level-2 variance prior 258 9.6 Propriety of the posterior 260 9.7 Assessing and accelerating convergence 261 9.8 Comparison of Bayesian and frequentist hierarchical models 263 9.8.1 Estimating the level-2 variance 263 9.8.2 ML and REml estimates compared with Bayesian estimates 264 9.9 Closing remarks 265 Exercises 265 10 Model building and assessment 267 10.1 Introduction 267 10.2 Measures for model selection 268 10.2.1 The Bayes factor 268 10.2.2 Information theoretic measures for model selection 274 10.2.3 Model selection based on predictive loss functions 286 10.3 Model checking 288 10.3.1 Introduction 288 10.3.2 Model-checking procedures 289 10.3.3 Sensitivity analysis 295 10.3.4 Posterior predictive checks 300 10.3.5 Model expansion 308 10.4 Closing remarks 316 Exercises 316 11 Variable selection 319 11.1 Introduction 319 11.2 Classical variable selection 320 11.2.1 Variable selection techniques 320 11.2.2 Frequentist regularization 322 11.3 Bayesian variable selection: Concepts and questions 325 11.4 Introduction to Bayesian variable selection 326 11.4.1 Variable selection for K small 326 11.4.2 Variable selection for K large 330 11.5 Variable selection based on Zellner’s g-prior 333 11.6 Variable selection based on Reversible Jump Markov chain Monte Carlo 336 11.7 Spike and slab priors 339 11.7.1 Stochastic Search Variable Selection 340 11.7.2 Gibbs Variable Selection 343 11.7.3 Dependent variable selection using SSVS 345 11.8 Bayesian regularization 345 11.8.1 Bayesian LASSO regression 346 11.8.2 Elastic Net and further extensions of the Bayesian LASSO 350 11.9 The many regressors case 351 11.10 Bayesian model selection 355 11.11 Bayesian model averaging 357 11.12 Closing remarks 359 Exercises 360 Part III Bayesian Methods in Practical Applications 12 Bioassay 365 12.1 Bioassay essentials 365 12.1.1 Cell assays 365 12.1.2 Animal assays 366 12.2 A generic in vitro example 369 12.3 Ames/Salmonella mutagenic assay 371 12.4 Mouse lymphoma assay (L5178Y TK+/−) 373 12.5 Closing remarks 374 13 Measurement error 375 13.1 Continuous measurement error 375 13.1.1 Measurement error in a variable 375 13.1.2 Two types of measurement error on the predictor in linear and nonlinear models 376 13.1.3 Accommodation of predictor measurement error 378 13.1.4 Nonadditive errors and other extensions 382 13.2 Discrete measurement error 382 13.2.1 Sources of misclassification 382 13.2.2 Misclassification in the binary predictor 383 13.2.3 Misclassification in a binary response 386 13.3 Closing remarks 389 14 Survival analysis 390 14.1 Basic terminology 390 14.1.1 Endpoint distributions 391 14.1.2 Censoring 392 14.1.3 Random effect specification 393 14.1.4 A general hazard model 393 14.1.5 Proportional hazards 394 14.1.6 The Cox model with random effects 394 14.2 The Bayesian model formulation 394 14.2.1 A Weibull survival model 395 14.2.2 A Bayesian AFT model 397 14.3 Examples 397 14.3.1 The gastric cancer study 397 14.3.2 Prostate cancer in Louisiana: A spatial AFT model 401 14.4 Closing remarks 406 15 Longitudinal analysis 407 15.1 Fixed time periods 407 15.1.1 Introduction 407 15.1.2 A classical growth-curve example 408 15.1.3 Alternate data models 414 15.2 Random event times 417 15.3 Dealing with missing data 420 15.3.1 Introduction 420 15.3.2 Response missingness 421 15.3.3 Missingness mechanisms 422 15.3.4 Bayesian considerations 424 15.3.5 Predictor missingness 424 15.4 Joint modeling of longitudinal and survival responses 424 15.4.1 Introduction 424 15.4.2 An example 425 15.5 Closing remarks 429 16 Spatial applications: Disease mapping and image analysis 430 16.1 Introduction 430 16.2 Disease mapping 430 16.2.1 Some general spatial epidemiological issues 431 16.2.2 Some spatial statistical issues 433 16.2.3 Count data models 433 16.2.4 A special application area: Disease mapping/risk estimation 434 16.2.5 A special application area: Disease clustering 438 16.2.6 A special application area: Ecological analysis 443 16.3 Image analysis 444 16.3.1 fMRI modeling 446 16.3.2 A note on software 455 17 Final chapter 456 17.1 What this book covered 456 17.2 Additional Bayesian developments 456 17.2.1 Medical decision making 456 17.2.2 Clinical trials 457 17.2.3 Bayesian networks 457 17.2.4 Bioinformatics 458 17.2.5 Missing data 458 17.2.6 Mixture models 458 17.2.7 Nonparametric Bayesian methods 459 17.3 Alternative reading 459 Appendix: Distributions 460 A.1 Introduction 460 A.2 Continuous univariate distributions 461 A.3 Discrete univariate distributions 477 A.4 Multivariate distributions 481 References 484 Index 509
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John Wiley & Sons Inc Tutorials in Biostatistics Statistical Methods in
Book Synopsis"The Tutorials in Biostatistics" are a feature of the journal, "Statistics in Medicine" (SIM).Trade Review"The articles within the volume are self-contained, well written, and accessible to readers of widely ranging backgrounds. These volumes should be extremely valuable to practitioners…" (Journal of the American Statistical Association, December 2005) "The biostatistical practitioners who use a broad range of statistical methods would definitely find beneficial and useful to have 'Tutorials in Biostatistics'…" (E-STREAMS, September 2005) “ …this book gives a well-written and concise overview of selected biostatistical subjects.” (Journal of the Royal Statistical Society, Series A, June 2005)Table of ContentsPreface. Preface to Volume 1. Part I: OBSERVATIONAL STUDIES/EPIDEMIOLOGY. 1.1 Epidemiology. Computing Estimates of Incidence, including Lifetime Risk: Alzheimer’s Disease in the Framingham Study. The Practical Incidence Estimators (PIE) Macro. (Alexa Beiser et al). The Applications of Capture-Recapture Models to Epidemiological Data. (Anne Chao et al). 1.2 Adjustment Methods. Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non-Randomized Control Group (Ralph B. D’Agostino Jr.). 1.3 Agreement Statistics. Kappa Coefficients in Medical Research (Helen Chmura Kraemer et al). 1.4 Survival Models. Survival Analysis in Observational Studies (Kate Bull and David J. Spiegelhalter). Methods for Interval-Censored Data (Jane C. Lindsey and Louise M. Ryan). Analysis of Binary Outcomes in Longitudinal Studies Using Weighted Estimating Equations and Discrete-Time Survival Methods: Prevalence and Incidence of Smoking in an Adolescent Cohort (John B. Carlin et al). Part II: PROGNOSTIC/CLINICAL PREDICTION MODELS. 2.1 Prognostic Variables. Categorizing a Prognostic Variable: Review of Methods, Code for Easy Implementation and Applications to Decision-Making about Cancer Treatments (Madhu Mazumdar and Jill R. Glassman). 2.2 Prognostic/Clinical Prediction Models. Development of Health Risk Appraisal Functions in the Presence of Multiple Indicators: The Framingham Study Nursing Home Institutionalization Model (R. B. D’Agostino et al). Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors (Frank E. Harrell Jr et al). Development of a Clinical Prediction Model for an Ordinal Outcome: The World Health Organization Multicentre Study of Clinical Signs and Etiological Agents of Pneumonia, Sepsis and Meningitis in Young Infants (Frank E. Harrell Jr. et al). Using Observational Data to Estimate Prognosis: An Example Using a Coronary Artery Disease Registry (Elizabeth R. DeLong et al). Part III: CLINICAL TRIALS. 3.1 Design. Designing Studies for Dose Response (Weng Kee Wong and Peter A. Lachenbruch.). 3.2 Monitoring. Bayesian Data Monitoring in Clinical Trials (Peter M. Fayers et al). 3.3 Analysis. Longitudinal Data Analysis (Repeated Measures) in Clinical Trials (Paul S. Albert). Repeated Measures in Clinical Trials: Simple Strategies for Analysis Using Summary Measures (Stephen Senn et al). Strategies for Comparing Treatments on a Binary Response with Multi-Centre Data (Alan Agresti, and Jonathan Hartzel). A Review of Tests for Detecting a Monotone Dose–Response Relationship with Ordinal Response Data (Christy Chuang-Stein and Alan Agresti).
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Wiley Statistical Modelling of Complex Medical Data
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