Epidemiology and Medical statistics Books
Nova Science Publishers Inc The COVID-19 Disaster: Volume II: Prevention and
Book SynopsisThis book describes the work to be done in building an automated pandemic prevention and response capability for the US with international extensions and extendibility using artificial intelligence. The complexity of operational decisions, information sharing, situational awareness, and planned/ongoing actions by thousands of actors in pandemic prevention, preparedness and response is far too great for anyone to manage effectively. The deaths and economic devastation caused by COVID-19 yet again proved this fact, much like all other major disasters we have endured. There are too many organisations, too many differing plans and agendas, too many different people of varying experience in positions of responsibility, and too much information as well as critical need for optimal decisions and actions, to avoid calamity during the inevitable next pandemic. We need automated planning, information vetting/sharing and rapid action to optimize prevention and, if not prevented, response to minimize spread. Volume I laid out the case for a better approach than exists in the U.S. today, and our nation's military -- touted as the best in the world -- employs methodologies with precision and fidelity that optimise rapid decision making for human-sized enemies. It turns out these same methodologies and associated technologies work just as well with our microscopic enemies, like COVID-19. This book provides an overview of how it should be developed, implemented and evolved nationwide before the next pandemic. Seems like we finally should get our "act" together, otherwise the toll for passage of the next virus could be far higher as we remain unprepared. It will be hard and extensive work, which some have referenced the "Manhattan Project" or the Apollo Program, but the COVID-19 death count mandates we apply our best effort to prevent another pandemic disaster. We are better equipped now than ever to do so.Table of ContentsDedication; Foreword; Prologue; Introduction; COVID-19 and Other Disasters: Applying the Lessons Learned; Organizational Enterprise Synthesis of Effective Pandemic Collaboration; Pandemic Response Collaboration Planning; The AI Plan-ning Engine; The SHOULD-BE Implementation Plan; Epilogue; Acknowledgments; Biographies; Epigraph.
£163.19
New Age International (UK) Ltd Mathematical Physics for Engineers
Book Synopsis
£30.00
Oxford University Press Population Health Science
a huge range and FREE tracked UK delivery on ALL orders.
£62.00
Oxford University Press Healthier Fifty Thoughts on the Foundations of Population Health
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£33.99
Oxford University Press Climate Change and the Health of Nations
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£23.27
Oxford University Press CaseControl Studies Design Conduct Analysis 2 Monographs in Epidemiology and Biostatistics
Trade Review"A fluent text . . . This timely book helps fill an important gap." --Journal of the American Medical Association "Clear and direct . . . Fulfills its promise to provide epidemiologists and statisticians with a useful resource on a topic that had previously been neglected. It could serve as a most useful addition to anyone designing or evaluating case-control studies." --American Statistical Association Newsletter "The language is clear, there are many examples, and the text forms a uniform discussion of a wide range of topics which up until now could be covered only by review of the original epidemiologic and biostatistical literature." --Epidemiology Monitor "A fluent text . . . This timely book helps fill an important gap." --Journal of the American Medical Association "Clear and direct . . . Fulfills its promise to provide epidemiologists and statisticians with a useful resource on a topic that had previously been neglected. It could serve as a most useful addition to anyone designing or evaluating case-control studies." --American Statistical Association Newsletter "The language is clear, there are many examples, and the text forms a uniform discussion of a wide range of topics which up until now could be covered only by review of the original epidemiologic and biostatistical literature." --Epidemiology Monitor
£52.25
Oxford University Press, USA The Health of Native Americans Toward a Biocultural Epidemiology
Book SynopsisThe book offers a comprehensive view of the health of Native Americans in the United States and Canada. The author emphasizes the interaction of biology and culture in disease causation, distribution, and control.Trade Review'without peer as an introduction to the health problems of the indigenous peoples of North America ... I will recommend it to undergraduate, graduate, and medical students seeking information on Indian health. Physicians and public health professionals serving Native American populations, even those with years of experience, will have much to learn from the book, I certainly did.' Jonathan R. Sugarman, JAMA, February 1995, Vol. 273, No. 6an excellent review of the literature with careful attention to the limitations inherent in much of the research ... This book is a valuable reference for researchers and health professionals working with Native communities. * Canadian Journal of Public Health, Vol. 86, No. 3, May/June 1995 *Table of Contents1: An Introduction to Native Americans 2: An Overview of Population and Health 3: Decline and Persistence of Infectious Diseases 4: Emergence of Chronic Diseases (I) 5: Emergence of Chronic Diseases (II) 6: Injuries and Social Pathologies 7: Towards a Biocultural Epidemiology
£65.55
Oxford University Press, USA Workbook of Epidemiology
Book SynopsisThis text deals with the design and accuracy of epidemiological studies. It gives students a clear understanding of the research strategies used in experimental and non-experimental studies to ask the right questions, select the study population and follow-up period, obtain information on exposures, follow up disease occurrence, etc.Trade Review"A very useful book, and I am looking forward to using it for teaching and discussion groups....I recommend the book highly."--Doody's Health Sciences Book Review JournalTable of Contents1: Basic Concepts 2: Asking the Right Questions 3: Selecting the Study Population and Follow-up Period 4: Obtaining Information on Exposure 5: Follow-up of Disease Occurrence 6: Sampling from the Base (Case-referent Studies) 7: Assignment of Exposure (Experimental Strategies) 8: General Exercises
£43.69
Oxford University Press, USA Design and Analysis of GroupRandomized Trials 27 Monographs in Epidemiology and Biostatistics
Book SynopsisThis is the first comprehensive text about the design and analysis of community or group-randomized trials, which are usually done to evaluate the effect of health promotion efforts. It reviews the underlying issues, describes the most widely used research designs, and presents the many approaches to analysis that are now available.Trade Review"This book is an important addition to any public health or medical library. It is well-written and much needed."--Doody's JournalTable of Contents1. Introduction ; 2. Planning the Trials ; 3. Research Design ; 4. Planning the Analysis ; 5. Analysis for Nested Cross-Sectional Designs ; 6. Analysis for Nested-Cohort Designs ; 7. Applications of Analyses for Nested Cross-Sectional Designs ; 8. Applications of Analyses for Nested-Cohort Designs ; 9. Sample Size, Detectable Difference and Power ; 10. Case Studies
£92.15
Oxford University Press Inc CONSERVATION MEDICINE C Ecological Health in Practice
a huge range and FREE tracked UK delivery on ALL orders.
£114.00
Oxford University Press, USA Epidemiologic Methods in Physical Activity Studies
Book SynopsisPhysical activity clearly is associated with decreased risk of many chronic diseases, as well as with longer life. Utilizing modern epidemiologic methods, studies of physical activity and health have been conducted since the 1940s. However physical inactivity did not gain widespread acknowledgement as a major risk factor for poor health until 1992, when the American Heart Association recognized it as a risk factor for heart disease, on par with risk factors such as smoking. This text includes chapters describing the associations between physical activity and major diseases. With a major emphasis on the methods underpinning studies that can be conducted to elucidate these associations, this book is an important guide for those performing the informative epidemiologic studies needed to reduce the increasing number of people diagnosed with chronic disease due to inactivity.Trade ReviewA thorough and thought-provoking overview of the rapidly evolving field of physical activity and inactivity measurement and of data analytic techniques... an excellent companion for physical activity researchers and students alike. * American Journal of Epidemiology *Table of ContentsCONTENTS; CONTRIBUTORS; EPIDEMIOLOGIC METHODS, I-MIN LEE, RALPH S. PAFFENBARGER, JR; EPIDEMIOLOGIC DATA, SECTION EDITOR: JOANN MANSON; PROMOTING PHYSICAL ACTIVITY, SECTION EDITOR: STEVEN N. BLAIR
£72.00
Oxford University Press Lilienfelds Foundations of Epidemiology
Book SynopsisTwo decades after the third edition of Lilienfeld''s Foundations of Epidemiology advanced the teaching of epidemiology, this completely revised fourth edition offers a new and innovative approach for future generations of students in population health. Authored by two longtime educators in epidemiology, this all-new Foundations frames the field''s fundamental concepts within a mix of classic examples and recent case studies, as well the inclusion of recently developed measures now finding commonplace usage in the field. The result is a comprehensive introduction to modern epidemiology accessible to readers of all backgrounds and interests.Features in this new Foundations include:- Coverage of all the fundamentals of epidemiology, including measuring health status, characteristics of outbreaks, design and construct of epidemiologic studies- Exercises to check understanding- Chapters devoted to clinical epidemiology, fieldwork, evidence-based medicine, and evidence-based public health contextualize epidemiology and its place in medicine and societyDevoid of the digressions and inaccessibility that characterize many other introductory epidemiology texts, this new Foundations of Epidemiology will inform thinking and learning in the population sciences for decades to come. It is affordable, comprehensive, and enjoyable to read, one not likely to sit on the shelf collecting dust but to be consulted over time as one would when seeking guidance from a wise friend or mentor.Table of ContentsI INTRODUCTION TO EPIDEMIOLOGY ; 1. Laying the Foundations: The Epidemiologic Approach ; 2. Threads of Epidemiologic History ; 3. Selected Epidemiologic Concepts of Disease ; 4. Inferring Causal Relationships from Epidemiologic Studies ; II DEMOGRAPHIC STUDIES ; 5. Vital Statistics ; 6. Vital Statistics: Studies ; 7. Morbidity Statistics ; 8. Morbidity Statistics: Studies ; III EPIDEMIOLOGIC STUDIES ; 9. Observational Studies I: Cohort Studies ; 10. Observational Studies II: Case-Control Studies ; 11. Experimental Studies I: Randomized Controlled Trials ; 12. Experimental Studies II: Community and Cluster Randomized Trials ; IV USING EPIDEMIOLOGIC INFORMATION ; 13. Clinical Applications ; 14. Field Epidemiology ; 15. Evidence-Based Practices ; APPENDICES ; 1. Guide to Reading the Epidemiologic Literature ; 2. Standards for Reporting the Results of Epidemiologic and Health-Related Studies ; 3. Answers to Problem Sets ; INDEX
£68.01
Oxford University Press Computational Molecular Evolution
Book SynopsisThe field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods. The increasing availability of large genomic data sets requires powerful statistical methods to analyse and interpret them, generating both computational and conceptual challenges for the field.Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes. The book emphasizes essential concepts rather than mathematical proofs. It includes detailed derivationsTrade ReviewWhat sets this books apart is the authority and thoughtfulness with which it is written, the thorough coverage of the relevant literature, and the great care that has been taken in the computational examples to compare different methods on the same set of data, and to present the results clearly. It will be an invaluable resource both for new graduate students and established researchers. It will be a major source for insight and enormously helpful for anyone who wants to understand molecular phylogenies. * The Quarterly Review of Biology *Table of ContentsPREFACE ; APPENDIXES ; REFERENCE
£73.15
Oxford University Press Health Promotion
Book SynopsisHealth Promotion: Ideology, Discipline, and Specialism is a thorough examination of the field, advancing clear proposals for its development and future, and is essential reading for those needing an understanding of the theoretical background, historical context, or the challenges that health promotion faces today. Health promotion is a term which has been used varyingly to describe an ideology, a discipline, or a profession, and has subtly different meanings when used in each of these ways. Dr John Kemm presents a nuanced understanding of the complexities of the field, and careful consideration of the theoretical and practical difficulties involved.With the core belief that health promotion has a vital contribution to make to the health of populations, this book is packed with the knowledge and tools necessary to help people contribute in real and practical ways to health promotion. Its timely examination of the strategies and legislation of successive governments in the UK informs thTrade ReviewThe book is well structured and referenced. * Mr Peter Trebiko, Australian & New Zealand Journal of Public Health *Table of Contents1. Introduction - Mapping the issues ; 2. A history of health promotion ; 3. Evidence for health promotion ; 4. The determinants of health ; 5. Assessing need and planning ; 6. What governments can do ; 7. Supporting individual behaviour change ; 8. Health education ; 9. Ethics of health promotion ; 10. The wider public health workforce ; 11. Health promotion specialists ; 12. Settings ; 13. Community development ; 14. Social marketing ; 15. Changing lifestyle with health promotion - Some examples ; 16. Evaluation ; 17. Partnership and influencing people and organisations ; 18. The way forward
£74.00
Oxford University Press Epidemiology Matters
Book SynopsisEpidemiology Matters offers a new approach to understanding and identifying the causes of disease -- and with it, how to prevent disease and improve human health. Utilizing visual explanations and examples, this text provides an accessible, step-by-step introduction to the fundamentals of epidemiologic study, from design to analysis. Across fourteen chapters, Epidemiology Matters teaches the individual competencies that underlie the conduct of an epidemiologic study: identifying populations; measuring exposures and health indicators; taking a sample; estimating associations between exposures and health indicators; assessing evidence for causes working together; assessing internal and external validity of results. With its consequentialist approach -- designing epidemiologic studies that aim to inform our understanding, and therefore improve public health -- Epidemiology Matters is an introductory text for the next generation of students in medicine and public health.Trade ReviewEpidemiology Matters makes a nice addition to the existing roster of introductory epidemiology texts. The authors provide a clear introduction to central epidemiologic concepts, including causality, internal validity, external validity, study design, and measures of association using a step-bystep approach. Their well-designed website provides useful supplementary materials... The book will be useful to students who take only one course in epidemiology, as well as to scholars who decide to pursue epidemiology in more depth. * American Journal of Epidemiology *This is a unique addition to the ever-expanding library of introductory epidemiology books. The material is easily accessible to beginners, and the consequentialist approach brethes new life into the field.Table of Contents1. An introduction ; 2. What is a population and what is population health? ; 3. What is an exposure, what is a disease, and how do we measure them? ; 4. What is a sample? ; 5. Watching a sample, counting cases ; 6. Are exposures associated with health indicators? ; 7. What is a cause? ; 8. Is the association causal, or are there alternative explanations? ; 9. How do non-causal associations arise? ; 10. How can we mitigate against non-causal associations in design and analysis? ; 11. When do causes work together? ; 12. Do the results matter beyond the study sample? ; 13. How do we identify disease early to minimize its consequences? ; 14. Conclusion: Epidemiology and what matters most
£56.10
Oxford University Press Exposure Assessment in Environmental Epidemiology Revised
Book SynopsisThis completely updated edition of Exposure Assessment in Environmental Epidemiology offers a practical introduction to exposure assessment methodologies in environmental epidemiologic studies. In addition to methods for traditional methods -- questionnaires, biomonitoring -- this new edition is expanded to include geographic information systems, modeling, personal sensoring, remote sensing, and OMICs technologies. In addition, each of these methods is contextualized within a recent epidemiology study, maximizing illustration for students and those new to these to these techniques. With clear writing and extensive illustration, this book will be useful to anyone interested in exposure assessment, regardless of background.Trade ReviewIt is hard not to be excited about this book. It can be challenging to put biology, mathematics, the healing arts, and earth sciences together in a meaningful manner that yields useful exposure assessments, but Professor Nieuwenhuisjen's team has done just that with this second edition. . . This book is remarkable in terms of its clarity and completeness. * J. Thomas Pierce, MBBS, PhD (Navy Environmental Health Center); Doody's Notes *Table of ContentsSection I: Methods ; 1: Introduction to exposure assessment ; Mark J Nieuwenhuijsen ; 2: Questionnaires ; Mark J Nieuwenhuijsen ; 3: Environmental measurement and modelling: introduction and geographical information systems ; John Gulliver /David Briggs/ Kees de Hoogh ; 4: Environmental measurement and modelling: source-dispersion and micro-environmental models ; Kees de Hoogh/David Briggs/John Gulliver ; 5: Personal exposure monitoring and modelling ; Mark J Nieuwenhuijsen ; 6: Biological monitoring ; Marie Pedersen/Mark J Nieuwenhuijsen ; 7: Occupational exposure assessment in industry- and population-based epidemiologic studies. ; Melissa C. Friesen/Jerome Lavoue/ Kay Teschke/Martie Van Tongeren ; 8: Pharmacokinetic modeling in epidemiology ; Marc-Andre Verner ; 9: Dermal and inadvertent ingestion exposure assessment ; Sean Semple and John W Cherrie ; 10: Exposure measurement error: consequences and design issues ; Ben Armstrong and Xavier Basagana ; Section II: Current topics ; 11: Exposure assessment for biological agents in environmental epidemiology ; Dick Heederik/Heike Schmitt ; 12: Particulate Matter; exposure assessment and health ; Helen H. Suh ; 13: Land use regression models for outdoor air pollution ; Gerard Hoek, Rob Beelen, Bert Brunekreef ; 14: The Early Life Exposome - Concept and Implementation in Birth Cohorts ; Martine Vrijheid ; 15: Remote sensing ; Payam Dadvand ; 16: Exposure assessment of water contaminants ; Cristina M Villanueva/Patrick Levallois ; 17: The development of biomarkers ; Clifford P. Weisel ; 18: Radiofrequency (RF) Exposure, measurements and health effects ; Frank de Vocht/Martie van Tongeren
£88.00
Oxford University Press Inc Social Epidemiology
Book SynopsisSocial epidemiology is the study of how the social world influences -- and in many cases defines -- the fundamental determinants of health. This link was substantiated in the first edition of Social Epidemiology, and the generation of research that followed has fundamentally changed the way we understand epidemiology and public health. This much-awaited second edition elevates the field again, first by codifying the last decade of research, then by extending it to examine how public policies impact health. The new edition includes: 11 fully updated chapters, including entries on the links between health and discrimination, income inequality, social networks, and emotion Four all-new chapters on the role of policies in shaping health, including how to translate evidence into action with multi-level interventions Updated references, detailing the best research over the last two decadesThe result is a bold, brilliant text that will serve the new world of epidemiology in which scientists bTrade ReviewAn extraordinary work of scholarship. Its excellence provides assurance that it will become a classic. * Leon Eisenberg, New England Journal of Medicine *[Social Epidemiology] is brilliant. * Journal of Public Health Medicine *In providing a resource that explicates the social determinants of illness and helps the reader to understand the impact of social organization and structure of health and access to healthcare, the editors make this book a valuable contribution to the literature on psychosocial epidemiology. * Doody's *Provocative and stimulating... a great resource. * International Journal of Epidemiology *An important book, and a critical and timely addition to the field. * The Epidemiology Monitor *Table of ContentsForeword ; Leonard Syme ; Chapter 1 ; A Historical Framework for Social Epidemiology: Social Determinants of Population Health ; Lisa F. Berkman and Ichiro Kawachi ; Chapter 2 ; Socioeconomic Status and Health ; M. Maria Glymour, Mauricio Avendano, and Ichiro Kawachi ; Chapter 3 ; Discrimination and Health Inequities ; Nancy Krieger ; Chapter 4 ; Income Inequality ; Ichiro Kawachi and SV Subramanian ; Chapter 5 ; Working Conditions and Health ; Lisa F. Berkman, Ichiro Kawachi, And Tores Theorell ; Chapter 6 ; Labor Markets, Employment Policies, and Health ; Mauricio Avendano and Lisa F. Berkman ; Chapter 7 ; Social Network Epidemiology ; Lisa F. Berkman and Aditi Krishna ; Chapter 8 ; Social Capital, Social Cohesion, and Health ; Ichiro Kawachi and Lisa F. Berkman ; Chapter 9 ; Affective States and Health ; Laura D. Kubzansky, Ashley Winning, and Ichiro Kawachi ; Chapter 10 ; Changing Health Behaviors in a Social Context ; Cassandra Okechukwu, Kirsten Davison, and Karen Emmons ; Chapter 11 ; Experimental Psychosocial Interventions ; Thomas A. Glass, Amii M. Kress, and Lisa F. Berkman ; Chapter 12 ; Policies as Tools for Research and Translation in Social Epidemiology ; M .Maria Glymour ; Chapter 13 ; Applications of Behavioral Economics to Improve Health ; Ichiro Kawachi ; Chapter 14 ; Biological Pathways Linking Social Conditions and Health: Plausible Mechanisms and Emerging Puzzles ; Laura D. Kubzansky, Teresa E. Seeman, M .Maria Glymour ; Chapter 15 ; From Science to Policy ; Michael Marmot and Jessica Allen
£98.00
Oxford University Press STAT MODELS EPIDEMIOLOGY P
Book SynopsisThis self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In showing how to use models in epidemiology the authors have chosen to emphasize the role of likelihood, an approach to statistics which is both simple and intuitively satisfying. More complex problems can then be tackled by natural extensions of the simple methods. Based on a highly successful course, this book explains the essential statistics for all epidemiologists.Trade ReviewUnlike many textbooks in epidemiology, there is no long wordy preamble. The characteristic style is set straight away. The book is also highly successful in presenting a unified approach. What is also striking, is that the authors have managed to say something useful and clear about many of the all too numerous minor problems that are inevitably encountered in practice. In my view this is simply an excellent text. * Andrew Pickles, Institute of Psychiatry, London, Statistical Methods in Medical Research 1994:3 *An excellent text which provides the simplest and most logical exposition that I have seen of the statistical foundations for current techniques for analysing epidemiological data, and provides an excellent preparation for more detailed treatments. * Australasian Epidemiological Association News, 12/94 *Provides probably the most coherent and logical exposition of the use of statistical models in epidemiology that is currently available ... an excellent text which provides the simplest and most logical exposition that I have seen of the statistical foundations for current techniques for analysing epidemiological data, and provides an excellent preparation for more detailed treatments. * AEA News 12/94 *Clayton and Hills have filled the gap with an interesting text which is based mainly on probability models and likelihood. This is an unusual approach. but is precisely what is missing in many other textbooks for epidemiologists ... this is an important text for those interested in understanding statistical reasoning in epidemiology. * Maria Blettner, International Journal of Epidemiology *The authors have produced a text that will be extremely valuable to those teaching epidemiologic methods... Statistical Models in Epidemiology courageously cuts new paths into the traditional epidemiologic approach to statistical training. * Journal of the American Statistics Association *This book gives some very clear explanations ... Each point is well illustrated with small examples and there are exercises throughout. It is pleasing to see full solution to all the exercises. * Public Health (1994) 108 *Table of ContentsI. PROBABILITY MODELS AND LIKELIHOOD; II. REGRESSION MODELS; III. APPENDICES
£57.00
Oxford University Press Analysis of Longitudinal Data Oxford Statistical Science NCS P 25 Oxford Statistical Science Series
Book SynopsisThis second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.Trade ReviewThe book is readable, well-written, and amply illustrated * Technometrics, August 1995 (previous edition) *It belongs in the possession of every statistician who encouters longitudinal data. * Journal of the American Statistical Association *. . . provides an excellent bridge between novel concepts in theoretical statistics and their potential use in applied research. * Statistics in Medicine *The topics covered are too numerous to dwell on here ... If your work involves longitudinal data and you wish to update, this book will serve you very well. As a quick look-up, it is very useful. * Pharmaceutical Statistics *The authors conclude each chapter with a helpful summary or conclusion, often indicating further reading. Helpfully, they also mention the topics that they have chosen not to present, together with other recommended books for you to follow up ... They have also chosen a good selection of examples, many of them medical, with which the various methods are clearly illustrated. * Pharmaceutical Statistics *Readers with interests across a wide spectrum of application areas will find the ideas relevant and interesting ... The book is readable and well written ... It belongs to the possession of every statistician who encounters longitudinal data. * Zentralblatt MATH *Table of Contents1. Introduction ; 2. Design considerations ; 3. Exploring longitudinal data ; 4. General linear models ; 5. Parametric models for covariance structure ; 6. Analysis of variance methods ; 7. Generalized linear models for longitudinal data ; 8. Marginal models ; 9. Random effects models ; 10. Transition models ; 11. Likelihood-based methods for categorical data ; 12. Time-dependent covariates ; 13. Missing values in longitudinal data ; 14. Additional topics ; Appendix ; Bibliography ; Index
£53.20
Oxford University Press New Directions in Conservation Medicine
Book SynopsisIn recent years, species and ecosystems have been threatened by many anthropogenic factors manifested in local and global declines of populations and species. Although we consider conservation medicine an emerging field, the concept is the result of the long evolution of transdisciplinary thinking within the health and ecological sciences and the better understanding of the complexity within these various fields of knowledge. Conservation medicine was born from the cross fertilization of ideas generated by this new transdisciplinary design. It examines the links among changes in climate, habitat quality, and land use; emergence and re-emergence of infectious agents, parasites and environmental contaminants; and maintenance of biodiversity and ecosystem functions as they sustain the health of plant and animal communities including humans. During the past ten years, new tools and institutional initiatives for assessing and monitoring ecological health concerns have emerged: landscape epiTable of ContentsIntroduction ; (A. Alonso Aguirre and Sara E. Howard) ; Part I: Conservation Medicine: Ecological Health in Practice ; 1. Conservation Medicine: Ontogeny of an Emerging Discipline ; A. Alonso Aguirre, G.M. Tabor and Richard S. Ostfeld ; 2. EcoHealth: Creating a Truly a Global Transdiscipline ; Bruce A. Wilcox, Pierre Horwitz, and A. Alonso Aguirre ; 3. One Health, One Medicine ; Laura H. Kahn, Thomas P. Monath, Bob H. Bokma, Paul Gibbs, A. Alonso Aguirre ; 4. Biodiversity and Human Health ; Aaron Bernstein ; 5. An Ecosystem Service of Biodiversity - The Protection of Human Health Against Infectious Disease ; Felicia Keesing and Richard S. Ostfeld ; 6. Parasite Conservation, Conservation Medicine and Ecosystem Health ; Andres Gomez, Elizabeth Nichols and Susan L. Perkins ; 7. Stress and Immunosuppression as Factors in the Decline and Extinction of Populations: The Concepts, the Evidence and the Challenges ; Heribert Hofer and Marion L. East ; Part II: Anthropogenic Change and Conservation Medicine ; 8. Predicted Impacts of Climate on Emerging Diseases: A Model for Global Change ; Raina K. Plowright, Paul C. Cross, Gary M. Tabor, Emily Almberg, Leslie Bienen, and Peter Hudson ; 9. Wildlife Health in a Changing North: A Model for Global Environmental Change ; Morten Tryland, Susan Kutz and Patricia Curry ; 10. Habitat Fragmentation and Infectious Disease Ecology ; Gerardo Suzan, Fernando Esponda, Roberto Carrasco-Hernandez, A. Alonso Aguirre ; 11. Wildlife Trade and the Spread of Disease ; Katherine F. Smith, Lisa M. Schloegel, and Gail E. Rosen ; 12. Bushmeat and Infectious Disease Emergence ; Matthew LeBreton, Brian L. Pike, Karen E. Saylors, Joseph L. Diffo, Joseph N. Fair, Anne W. Rimoin, Nancy Ortiz, Cyrille F. Djoko, Ubald Tamoufe, Nathan D. Wolfe ; 13. Human Migration, Border Controls and Infectious Disease Emergence ; Anne M. Alexander, David C. Finnoff and Jason F. Shogren ; Part III: Emerging Infectious Diseases and Conservation Medicine ; 14. Are Bats Exceptional Viral Reservoirs? ; Kevin J. Olival, Jonathan H. Epstein, Lin-Fa Wang, Hume E. Field and Peter Daszak ; 15. SARS: A Case Study for Factors Driving Disease Emergence ; Wolfgang Preiser ; 16. H5N1 Highly Pathogenic Avian Influenza: Breaking the Rules in Disease Emergence ; Thijs Kuiken and Timm Harder ; 17. Bartonellosis: An Emerging Disease of Humans, Domestic Animals and Wildlife ; Ricardo G. Maggi, Craig A. Harms, Edward B. Breitschwerdt ; 18. Brucella ceti and Brucella pinnipedialis Infections in Marine Mammals ; Jacques Godfroid, Ingebjorg Nymo, Morten Tryland, Axel Cloeckaert, Thierry Jauniaux, Adrian M. Whatmore, Edgardo Moreno, Geoffrey Foster ; 19. Infectious Cancers in Wildlife ; Hamish McCallum and Menna Jones ; 20. From Protozoan Infection in Monarch Butterflies to Colony Collapse Disorder in Bees: Are Emerging Infectious Diseases Proliferating in the Invertebrate World? ; Rebecca Bartel and Sonia Altizer ; 21. Fungal Diseases in Neotropical Forests Disturbed by Humans ; Julieta Benitez-Malvido ; 22. Emerging Infectious Diseases in Fisheries and Aquaculture ; E. Scott Weber ; 23. Southern Sea Otters: Sentinels of Land-Sea Pathogens and Pollutants ; David A. Jessup and Melissa A. Miller ; Part IV: Ecotoxicology and Conservation Medicine ; 24. Ecotoxicology: Bridging Wildlife, Humans and Ecosystems ; Jeffrey M. Levengood and Val R. Beasley ; 25. Wildlife Toxicology: Environmental Contaminants and their National and International Regulation ; K. Christiana Grim, Anne Fairbrother, Barnett A. Rattner ; 26. Marine Biotoxins: Emergence of Harmful Algal Blooms as Health Threats to Marine Wildlife ; Spencer E. Fire, Frances M. Van Dolah ; 27. Beluga from the St Lawrence Estuary: A Case Study of Cancer and Polycyclic Aromatic Hydrocarbons ; Daniel Martineau ; Part V: Place Based Conservation Medicine ; 28. Sense and Serendipity: Conservation and Management of Bison in Canada ; Margo J. Pybus and Todd K. Shury ; 29. Pathogens, Parks and People: The Role of Bovine Tuberculosis in South African Conservation ; Claire Geoghegan ; 30. Disease Ecology and Conservation of Ungulates, Wild Rabbits and the Iberian Lynx in the Mediterranean Forest ; Fernando Martinez, Guillermo Lopez and Christian Gortazar ; 31. The Kibale EcoHealth Project: Exploring the Connections among Human Health, Animal Health, and Landscape Dynamics in Western Uganda ; Tony L. Goldberg, Sarah B. Paige and Colin A. Chapman ; 32. Conservation Medicine in Brazil: Case Studies of Ecological Health in Practice ; Paulo Rogerio Mangini, Rodrigo Silva Pinto Jorge, Marcelo Renan de Deus Santos, Alessandra Nava, Carlos Eduardo da Silva Verona, Maria Fernanda Vianna Marvulo, Jean Carlos Ramos Silva ; 33. Linking Conservation of Biodiversity and Culture with Sustainable Health and Wellness: The Itzama Model and Global Implications for Healing Across Cultures ; Todd J. Pesek, Victor Cal, Kevin Knight, John Arnason ; 34. Biodiversity and Human Health: Using Plants and Traditional Ethnomedical Knowledge to Improve Public Health and Conservation Programs in Micronesia ; Michael J. Balick, Katherine Herrera, Francisca Sohl, Wayne Law, Roberta Lee and William C. Raynor ; Part VI: Applied techniques Of Conservation Medicine ; 35. Human Health in the Biodiversity Hotspots: Applications of Geographic Information System Technology and Implications for Conservation ; Larry J. Gorenflo ; 36. Determining when Parasites of Amphibians are Conservation Threats to their Hosts: Methods and Perspectives ; Trent W. J. Garner, Cheryl J. Briggs, Jon Bielby and Matthew C. Fisher ; 37. Strategies for Wildlife Disease Surveillance ; Jonathan M. Sleeman, Christopher J. Brand, Scott D. Wright ; 38. Wildlife Health Monitoring in North America: From Sentinel Species to Public Policy ; Michelle M. Willette, Julia B. Ponder, Dave L. McRuer, Edward E. Clark, Jr. ; 39. The Establishment of Serum Banks for Eco-Epidemiological Investigations of Infectious Diseases in Marine Mammals ; A. Alonso Aguirre, Melinda K. Rostal, Thomas J. Keefe ; 40. Sorta Situ: The New Reality of Management Conditions for Wildlife Populations in the Absence of 'Wild' Spaces ; Barbara A. Wolfe, Roberto F. Aguilar, A. Alonso Aguirre, Glenn H. Olsen, Evan S. Blumer ; 41. Modeling Population Viability and Extinction Risk in the Presence of Parasitism ; Patrick Foley and Janet E. Foley ; 42. Using Mathematical Models in a Unified Approach to Predicting the Next Emerging Infectious Disease ; Tiffany L. Bogich, Kevin J. Olival, Parviez R. Hosseini, Sebastian Funk, Ilana L. Brito, Jonathan H. Epstein, John S. Brownstein, Damien O. Joly, Marc A. Levy, Kate E. Jones, Stephen S. Morse, A. Alonso Aguirre, William B. Karesh, Jonna AK Mazet, and Peter Daszak ; Index
£128.25
Palgrave Macmillan Philosophy of Epidemiology New Directions in the Philosophy of Science
Book SynopsisEpidemiology is one of the fastest growing and increasingly important sciences. This thorough analysis lays out the conceptual foundations of epidemiology, identifying traps and setting out the benefits of properly understanding this fascinating and important discipline, as well as providing the means to do so.Table of ContentsPreface Acknowledgements Abbreviations Glossary 1. Why Philosophy of Epidemiology? 2. Philosophical and Epidemiological Basics 3. The Causal Interpretation Problem 4. Causal Inference, Translation, and Stability 5. Stable Causal Inference 6. Prediction 7. Making and Assessing Epidemiological Predictions 8. Puzzles of Attributability 9. Risk Relativism, Interaction, and the Shadow of Physics 10. Multifactorialism and Beyond 11. Epidemiology and the Law 12. Conclusion: Thinking is Good For You Notes Cases References Index
£104.49
Springer Health Behavior Emerging Research Perspectives
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John Wiley & Sons Inc Statistical Advances in the Biomedical Sciences
Book SynopsisA number of eminent experts on Clinical Trials, Epidemiology, Survival Analysis, and Genomics/Proteomics have contributed 30 carefully prepared and peer-reviewed articles to this book. Within the four sections, the articles have been organized so as to make the thematic transition between them as smooth as possible.Trade Review"Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate - and Ph.D.-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool for medical researchers, statisticians, public health professionals, and biostatisticians." (Mathematical Reviews, Issue 2009f) "Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate - and Ph.D.-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool for medical researchers, statisticians, public health professionals, and biostatisticians." (Mathematical Reviews, Issue 2009f) "The authors have done an excellent job of meeting the objective they put forward in the preface. They have produced an authoritative volume of readable chapters … The chapters are written well and will be understandable to graduate students in biostatistics and statistics. The book will have an important place as a reference book on the shelf of many professional biostatisticians working in a biomedical research environment. Additionally, it should be useful as a special topics text for graduate students in biostatistics and statistics graduate programs." (Biometrics, Dec 2008)Table of ContentsSECTION I.CLINICAL TRIALS. 1. Phase I Clinical Trials in Oncology (Anastasia Ivanova and Nancy Flournoy). 1.1 Introduction. 1.2 Phase I Trials in Healthy Volunteers. 1.3 Phase I Trials With Toxic Outcomes Enrolling Patients. 1.4 Other Design Problems in Dose Finding. 1.5 Concluding Remarks. References. 2. Phase II Clinical Trials (Nigel Stallard). 2.1 Introduction. 2.2 Frequentist methods in phase II clinical trials. 2.3 Bayesian methods in phase II clinical trials. 2.4 Decision theoretic methods in phase II clinical trials. 2.5 Clinical trials combining phases II and III. 2.6 Outstanding issues in phase II clinical trials. References. 3. Response Adaptive Designs in Phase III Clinical Trials (Atanu Biswas, Uttam Bandyopadhyay and Rahul Bhattacharya). 3.1 Introduction 3.3 Adaptive Designs for Binary Treatment Responses Incorporating Covariates. 3.4 Adaptive Designs for Categorical Responses. 3.5 Adaptive Designs for Continuous Responses. 3.6 Optimal Adaptive Designs. 3.7 Delayed Responses in Adaptive Designs. 3.8 Biased Coin Designs. 3.9 Real Adaptive Clinical Trials. 3.10 Data Study for Different Adaptive Scheme. 3.11 Concluding Remarks. References. 4. Inverse Sampling for Clinical Trials: A Brief Review of Theory and Practice (Atanu Biswas and Uttam Bandyopadhyay). 4.1 Introduction. 4.2 Two-Sample Randomized Inverse Sampling for Clinical Trials. 4.3 An Example of Inverse Sampling: Boston ECMO. 4.4 Inverse Sampling in Adaptive Designs. 4.5 Concluding. 5. The Design and Analysis Aspects of Cluster Randomized Trials (Hrishikesh Chakraborty). 5.1 Introduction: Cluster Randomized Trials. 5.2 Intra-Cluster Correlation Coefficient and Confidence Interval. 5.3 Sample Size Calculation for Cluster Randomized Trials. 5.4 Analysis of Cluster Randomized Trial Data. 5.5 Concluding Remarks. References. SECTION II. EPIDEMIOLOGY. 6. HIV Dynamics Modeling and Prediction of Clinical Outcomes in AIDS Clinical Research (Yangxin Huang and Hulin Wu). 6.1 Introduction. 6.2 HIV Dynamic Model and Treatment Effects Models. 6.3 Statistical Methods for Predictions of Clinical Outcomes. 6.4 Simulation Study. 6.5 Clinical Data Analysis. 6.6 Concluding Remarks. References. 7. Spatial Epidemiology (Lance A. Waller). 7.1 Space and Disease. 7.2 Basic Spatial Questions and Related Data. 7.3 Quantifying Pattern in Point Data. 7.4 Predicting Spatial Observations. 7.5 Concluding Remarks. References. 8. Modeling Disease Dynamics: Cholera as a Case Study (Edward L. Ionides, Carles Breto and Aaron A. King). 8.1 Introduction. 8.2 Data Analysis via Population Models. 8.3 Sequential Monte Carlo. 8.4 Modeling Cholera. 8.5 Concluding Remarks. References. 9. Misclassification and Measurement Error Models in Epidemiological Studies (Surupa Roy and Tathagata Banerjee). 9.1 Introduction. 9.2 A Few Examples. 9.3 Binary Regression Models with Two Types of Errors. 9.4 Bivariate Binary Regression Models with Two Types of Errors. 9.5 Models for Analyzing Mixed Misclassified Binary and Continuous Responses. 9.6 Atom Bomb Data Analysis. 9.7 Concluding Remarks. References. SECTION III. SURVIVAL ANALYSIS. 10. Semiparametric Maximum Likelihood Inference in Survival Analysis (Michael R. Kosorok). 10.1 Introduction 10.2 Examples of Survival Models. 10.3 Basic Estimation and Limit Theory. 10.4 The Bootstrap. 10.5 The Profile Sampler. 10.6 The Piggyback Bootstrap. 10.7 Other Approaches. 10.8 Concluding Remarks. References. 11. An Overview of the Semi-Competing Risks Problem (Limin Peng, Hongyu Jiang, Richard J. Chappell and Jason P. Fine). 11.1 Introduction. 11.2 Nonparametric Inferences. 11.3 Semiparmetric One-Sample Inference. 11.4 Semiparametric Regression Method. 11.5 Concluding Remarks. References. 12. Tests for Time-Varying Covariate Effects within Aalen's Additive Hazards Model (Thomas H. Scheike and Torben Martinussen). 12.1 Introduction. 12.2 Model Specification and Inferential Procedures. 12.3 Numerical Results. 12.4 Concluding Remarks. 12.5 Summary. References. 13. Analysis of Outcomes Subject to Induced Dependent Censoring: A Marked Point Process Perspective (Eugene Huang). 13.1 Introduction. 13.2 Induced Dependent Censoring and Associated Identifiability Issues. 13.3 Marked Point Process. 13.4 Modeling Strategy for Testing and Regression. 13.5 Concluding Remarks. References. 14. Analysis of Dependence in Multivariate Failure-Time Data (Zoe Moodie and Li Hsu). 14.1 Introduction. 14.2 Nonparametric Bivariate Survivor Function Estimation. 14.3 Non- and Semi-Parametric Estimation of Dependence Measures. 14.4 Concluding Remarks. References. 15. Robust Estimation for Analyzing Recurrent Events Data in the Presence of Terminal Events (Rajeshwari Sundaram). 15.1 Introduction. 15.2 Inference Procedures. 15.3 Large Sample Properties. 15.4 Numerical Results. 15.5 Concluding Remarks. References. 16. Tree-Based Methods for Survival Data (Mousumi Banerjee and Anne-Michelle Noone). 16.1 Introduction. 16.2 Review of CART. 16.3 Trees for Survival Data. 16.4 Simulations to Compare Different Splitting Methods. 16.5 Example: Breast Cancer Prognostic Study. 16.6 Random forest for Survival Data. 16.7 Concluding Remarks. References. 17. Bayesian Estimation of the Hazard Function with Randomly Right-Censored Data (Jean-Francois Angers and Brenda MacGibbon). 17.1 Introduction. 17.2 Bayesian Functional Model Using Monotone Wavelet Approximation. 17.3 Estimation of the Sub-Density F*. 17.4 Simulations. 17.5 Example. 17.6 Concluding Remarks. References. SECTION IV. GENOMICS AND PROTEOMICS. 18. The Effects of Inter-Gene Associations on Statistical Inferences From Microarray Data (Kerby Shedden). 18.1 Introduction. 18.2 Inter-Gene Correlation. 18.3 Differential Expression. 18.4 Time Course Experiments. 18.5 Meta-Analysis. 18.6 Concluding Remarks. References. 19. A Comparison of Methods for Meta-Analysis of Gene Expression Data (Hyungwon Choi and Debashis Ghosh). 19.1 Introduction. 19.2 Background. 19.3 Example. 19.4 Cross Comparison of Gene Signatures. 19.5 Best Common Mean Difference Method. 19.6 Effect Size Method. 19.7 Probability of Expression (POE) Assimilation Method. 19.8 Comparison of Three Methods. 19.9 Conclusions. References. 20. Statistical Methods for Identifying Differentially Expressed Genes in Replicated Microarray Experiments: A Review (Lynn Kuo, Fang Yu and Yifang Zhao). 20.1 Introduction. 20.2 Normalization. 20.3 Methods for Selecting Differentially Expressed Genes. 20.4 Simulation Study. 20.5 Concluding Remarks. References. 21. Clustering of Microarray Data via Mixture Models (Geoffrey McLachlan, Richard W. Bean and Angus Ng). 21.1 Introduction. 21.2 Clustering of Microarray Data. 21.3 Notation. 21.4 Clustering of Tissue Samples. 21.5 The EMMIX-GENE Clustering Procedure. 21.6 Clustering of gene profile. 21.7 EMMIX-WIRE. 21.8 ML Estimation via the EM Algorithm. 21.9 Model Selection. 21.10 Example: Clustering of Time-Course Data. 21.11 Concluding Remarks. References. 22. Censored Data Regression in High-Dimension and Low-Sample-Size Settings for Genomic Applications (Hongzhe Li). 22.1 Introduction. 22.2 Censored Data Regression Models. 22.3 Regularized Estimation for Censored Data Regression Models. 22.4 Survival Ensemble Methods. 22.5 Nonparametric Pathway-Based Regression Models. 22.6 Dimension-Reduction-Based Methods and Bayesian Variable Selection Methods. 22.7 Criteria for Evaluating Different Procedures. 22.8 Application to a Real Data Set and Comparisons. 22.9 Discussion and Future Research Topics. 22.10 Concluding Remarks. References. 23. Analysis of Case-Control Studies in Genetic Epidemiology (Nilanjan Chatterjee). 23.1 Introduction. 23.2 Maximum Likelihood Analysis of Case-Control Data with Complete Information. 23.3 Haplotype-Based Genetic Analysis with Missing Phase Information 23.4 Concluding Remarks. References. 24. Assessing Network Structure in the Presence of Measurement Error (Denise Scholtens, Raji Balasubramanian and Robert Gentleman). 24.1 Introduction 24.2 Graphs of Biological Data. 24.3 Statistics on Graphs. 24.4 Graph Theoretic Models. 24.5 Types of Measurement Error. 24.6 Exploratory Data Analysis. 24.7 Influence of Measurement Error on Graph Statistics. 24.8 Biological Implications. 24.9 Conclusions. References. 25. Prediction of RNA Splicing Signals (Mark Segal). 25.1 Introduction. 25.2 Existing Approaches to Splice Site Identification. 25.3 Splice Site Recognition Contemporary Classifiers. 25.4 Results. 25.5 Concluding Remarks. References. 26. Statistical Methods for Biomarker Discovery Using Mass Spectrometry (Bradley M. Broom and Kim-Anh Do). 26.1 Introduction. 26.2 Biomarker Discovery. 26.3 Statistical Methods for Pre-Processing. 26.4 Statistical Methods for Multiple Testing, Classification and Applications spectra. 26.5 Potential Statistical Developments. 26.6 Concluding Remarks. References. 27. Genetic Mapping of Quantitative Traits: Model-Free Sib-Pair Linkage Approaches (Saurabh Ghosh and Parthe P. Majumder). 27.1 Introduction. 27.2 The Basic QTL Framework for Sib-Pairs. 27.3 The Haseman-Elston Regression Framework. 27.4 Nonparametric Alternatives. 27.5 The Modified Nonparametric Regression. 27.6 Comparison with Linear Regression Methods. 27.7 Significance Levels and Empirical Power. 27.8 An Application to Real Data. 27.9 Concluding Remarks. References. SECTION V. MISCELLANEOUS TOPICS. 28. Robustness Issues in Biomedical Studies (Ayanendranath Basu). 28.1 Introduction: The Need for Robust Procedures. 28.2 Standard Tools for Robustness. 28.3 The Robustness Question in Biomedical Studies. 28.4 Robust Estimation in the Logistic Regression Model. 28.5 Robust Estimation for Censored Survival Data. 28.6 Adaptive Robust Methods in Clinical Trials. 28.7 Concluding Remarks. References. 29. Recent Advances in the Analysis of Episodic Hormone Data (Timothy D. Johnson and Yuedong Wang). 29.1 Introduction. 29.2 A General Biophysical Model. 29.3 Bayesian Deconvolution Model (BDM). 29.4 Nonlinear Mixed Effects Partial Splines Models. 29.5 Concluding Remarks. References. 30. Models for Carcinogenesis (Anup Dewanji). 30.1 Introduction. 30.2 Statistical Models. 30.3 Multistage Models. 30.4 Two-Stage Clonal Expansion Model. 30.5 Physiologically Based Pharmacokinetic Models. 30.6 Statistical Methods. 30.7 Concluding Remarks. References. Author Index. Subject Index.
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Springer Approaches to Breast Cancer Prevention 62 Developments in Oncology
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MW - Rutgers University Press Hives of Sickness Public Health and Epidemics in New York City
Table of ContentsForeword Robert R. Macdonald Introduction: ``Hives of Sickness and Vice'' David RosnerPART I Breeding Grounds for Disease Changing Patterns of Epidemic Disease in New York City Gretchen A. Condran Accountability for Public Health: Regulating the Housing Market in Nineteenth-Century New York City Elizabeth Blackmar Plagues and Prejudice: Nativism's Construction of Disease in Nineteenth-and Twentieth-Century New York City Alan M. KrautPART II When Epidemic Strikes "Be Safe. Be Sure. '': New York City's Experience with Epidemic Smallpox Judith Walzer Leavitt A Disease of Cleanliness: Polio in New York City, 1900--1990 Naomi Rogers The Dependent Center: The First Decade of the AIDS Epidemic in New York City Ronald BayerPART III The City Responds Science, Politics, and the Art of Persuasion: Promoting the New Scientific Medicine in New York City Elizabeth Fee Evelynn M. Hammonds The Politics of Public Health in the New York City: Contrasting Styles Since 1920 Daniel M. Fox Notes on Contributors Index
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