Epidemiology and Medical statistics Books
Cambridge University Press Ethics and EvidenceBased Medicine
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£72.19
Cambridge University Press Systematic Reviews in Health Care
Book SynopsisThis practical guide to systematic reviews clearly describes and explains the methods to systematically identify relevant research, appraise its quality, and synthesize the results. As well as illustrative examples, there are exercises for each of the sections. This is essential reading for those interested in synthesizing health care research.Trade Review'… the book serves as an excellently readable introduction to the whole subject of literature reviewing … Systematic Reviews in Health Care provides a readable, concise description of the methodologies, limitations and strengths of systematic reviews without excessive detail but greater depth than standard How to do EBM texts.' Doctors.net'… a very practical book for those interested in undertaking a systematic review in health case, more orientated towards health care professionals, but is a useful introduction to the subject for statisticians.' Statistical Methods in Medical ResearchTable of ContentsIntroduction; Part I. General Methods: 1. The question; 2. Finding relevant studies; 3. Appraising and selecting studies; 4. Summarising and synthesising the studies; 5. Applicability: returning to the question; Part II. Question-Specific Methods: 6. Interventions; 7. Frequency and rate; 8. Diagnostic tests; 9. Aetiology and risk factors; 10. Prediction: prognosis and risk; Appendix A. Literature searching methods; Appendix B. Software for meta-analysis; Glossary; Acronyms and abbreviations; References; Index.
£52.24
Cambridge University Press Biology of Plagues
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£118.75
Cambridge University Press Human Frontiers Environments and Disease Past Patterns Uncertain Futures
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£130.15
Cambridge University Press Familial Breast and Ovarian Cancer
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£140.60
Cambridge University Press Epidemiological Studies A Practical Guide
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£106.20
Cambridge University Press Pest and Vector Control
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£110.20
Cambridge University Press Ethics and EvidenceBased Medicine
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£140.60
Cambridge University Press Infectious Disease and HostPathogen Evolution
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£108.00
Cambridge University Press Statistical Modeling for Biomedical Researchers
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£130.15
Cambridge University Press Matched Sampling for Causal Effects
Book SynopsisThis selection of Donald B. Rubin's contributions to matched sampling includes classic theoretical studies as well as real applications. Each of the seven parts has an introduction by the author offering historical and current context. The book thus provides an accessible introduction to the study of matched sampling for readers across the statistical, social, and medical sciences.Trade Review'The book provides an accessible introduction to the study of matched sampling and as such it is well addressed to students and researchers in statistics, epidemiology, medicine, economics, education, sociology, political science, and anyone doing empirical research to evaluate the causal effects of interventions.' Zentralblatt MATHTable of ContentsPart I. The Early Years and the Influence of William G. Cochran: 1. William G. Cochran's contributions to the design, analysis, and evaluation of observational studies; 2. Controlling bias in observational studies: a review William G. Cochran; Part II. Univariate Matching Methods and the Dangers of Regression Adjustment: 3. Matching to remove bias in observational studies; 4. The use of matched sampling and regression adjustment to remove bias in observational studies; 5. Assignment to treatment group on the basis of a covariate; Part III. Basic Theory of Multivariate Matching: 6. Multivariate matching methods that are equal percent bias reducing, I: Some examples; 7. Multivariate matching methods that are equal percent bias reducing, II: Maximums on bias reduction for fixed sample sizes; 8. Using multivariate matched sampling and regression adjustment to control bias in observational studies; 9. Bias reduction using Mahalanobis-metric matching; Part IV. Fundamentals of Propensity Score Matching: 10. The central role of the propensity score in observational studies for causal effects Paul R. Rosenbaum; 11. Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome Paul R. Rosenbaum; 12. Reducing bias in observational studies using subclassification on the propensity score Paul R. Rosenbaum; 13. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score Paul Rosenbaum; 14. The bias due to incomplete matching Paul R. Rosenbaum; Part V: Affinely Invariant Matching Methods with Ellipsoidally Symmetric Distributions, Theory and Methodology: 15. Affinely invariant matching methods with ellipsoidal distributions Neal Thomas; 16. Characterizing the effect of matching using linear propensity score methods with normal distributions Neal Thomas; 17. Matching using estimated propensity scores: relating theory to practice Neal Thomas; 18. Combining propensity score matching with additional adjustments for prognostic covariates; Part VI. Some Applied Contributions: 19. Causal inference in retrospective studies Paul Holland; 20. The design of the New York school choice scholarships program evaluation Jennifer Hill and Neal Thomas; 21. Estimating and using propensity scores with partially missing data Ralph D'Agostino Jr.; 22. Using propensity scores to help design observational studies: application to the tobacco litigation; Part VII. Some Focused Applications: 23. Criminality, aggression and intelligence in XYY and XXY men H. A. Witkin; 24. Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism; 25. In utero exposure to phenobarbital and intelligence deficits in adult men June Reinisch, Stephanie Sanders, and Erik Mortensen; 26. Estimating causal effects from large data sets using propensity scores; 27. On estimating the causal effects of DNR orders Martin McIntosh.
£70.30
Cambridge University Press Dementia A Global Approach
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£99.75
Cambridge University Press Statistical Learning for Biomedical Data
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£104.50
Cambridge University Press Physical Illness and Schizophrenia A Review of the Evidence
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£53.19
Cambridge University Press The WHO World Mental Health Surveys
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£161.50
Cambridge University Press The Social Origins of Health and Wellbeing
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£38.94
Cambridge University Press Contours of Death and Disease in Early Modern England 29 Cambridge Studies in Population Economy and Society in Past Time Series Number 29
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£45.16
Cambridge University Press Understanding Human Metabolism
Book SynopsisWritten for anyone interested in how diet, nutrition and exercise affect our metabolism, this concise book explains clearly the metabolic processes that underlie all aspects of our daily lives. It dispels common misconceptions about human metabolism and enables readers to approach critically information about diet and lifestyle.Trade Review'Are you interested in your health and want to understand how your body functions? Do you want to learn the science behind how food and exercise interact and how together they can both foster wellbeing or lead to poor health and disease? This, and all you need to know about the key role of human metabolism for health and disease, is what Understanding Human Metabolism gives you. The author, Professor Keith Frayn, is probably the best teacher of human metabolism and nutrition of our times and has published several superb books on the topic for students of medicine and nutrition. This time, I would like to congratulate anyone without medical training but with an interest in human metabolism - this is the book for you.' Olle Ljungqvist, Professor of Surgery, Örebro University and Affiliated Professor of Surgery, Nutrition and Metabolism, Karolinska Institute, Sweden'Insightful, objective, easy reading. Nutritional biochemistry and metabolism in the right measure.' Teresa H. M. da Costa, Department of Nutrition, University of Brasília, Brazil'Everyone has a metabolism, and most people have a folk understanding of it. This very clear account of this actually complex subject brings science to bear on such understandings. Reading it will help you understand yourself better.' Stanley Ulijaszek, Professor of Human Ecology, University of Oxford, UKTable of ContentsForeword; Preface; Acknowledgements; 1. What is metabolism?; 2. Metabolic fuels; 3. Metabolic pathways; 4. Communication systems in human metabolism; 5. ATP, the common currency of metabolic energy; 6. Metabolism in daily life; 7. Metabolism is so adaptable; 8. Metabolic interactions between nutrients; 9. Metabolic disorders; Concluding remarks; Summary of common misunderstandings; Index.
£11.99
Cambridge University Press Behavioural Incentive Design for Health Policy
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£24.69
Cambridge University Press Behavioural Incentive Design for Health Policy
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£76.00
Cambridge University Press Contemporary Islamic Perspectives in Public
Book SynopsisAcross the world, there are over two billion people practicing the religion of Islam. There is increasing evidence of the value and influence of cultural competency and transcultural health for medical professionals working with these communities. Here, the authors have developed and organized a nuanced approach to cultural competence, simultaneously promoting diversity and insight into the influence and value of Islamic beliefs and practices on positive health. Endorsing culturally competent information, behaviors, and interventions, topics covered include immunization, hygiene, fasting and dietary restrictions, and sexual and reproductive health. This is a definitive resource for public health practitioners operating within Muslim communities and countries as well as for academic courses at undergraduate and postgraduate levels in public health and health promotion, medicine, social work, and social policy and for continual professional development.
£37.99
Cambridge University Press Introduction to Epidemiology for the Health
Book Synopsis
£42.74
Cambridge University Press Clinical Communication
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£47.49
Cambridge University Press Darwinian Hedonism and the Epidemic of Unhealthy Behavior
This book brings a new perspective to psychological hedonism as a fundamental theory of human behavior based on ideas grounded in affective neuroscience and evolutionary biology. The resulting Darwinian hedonism viewpoint is then applied to the growing epidemic of unhealthy behaviour; including poor diet, physical inactivity, and substance use.
£24.69
Cambridge University Press The Uncounted
Book SynopsisIn the global race to reach the end of AIDS, why is the world slipping off track? The answer has to do with stigma, money, and data. Global funding for AIDS response is declining. Tough choices must be made: some people will win and some will lose. Global aid agencies and governments use health data to make these choices. While aid agencies prioritize a shrinking list of countries, many governments deny that sex workers, men who have sex with men, drug users, and transgender people exist. Since no data is gathered about their needs, life-saving services are not funded, and the lack of data reinforces the denial. The Uncounted cracks open this and other data paradoxes through interviews with global health leaders and activists, ethnographic research, analysis of gaps in mathematical models, and the author''s experience as an activist and senior official. It shows what is counted, what is not, and why empowering communities to gather their own data could be key to ending AIDS.Trade Review'Davis vividly shows that not everything that counts can be counted, and not everything that can be counted counts. As an anthropologist, a human rights activist and a former Global Fund official, Davis is an insider and an outsider, drawing a rich, nuanced and compelling portrait of the HIV response today.' Joseph Amon, Director of Global Health, Drexel University, Dornsife School of Public Health'In The Uncounted, Davis has successfully synthesized the complex decisions guiding bilateral and multilateral funding agencies in the HIV response. Given her own experience and that the book is informed by systematic reviews and key informant interviews, it is accurate while managing to provide a humanized narrative to international development.' Stefan Baral, Director of the Key Populations Program at the Center for Public Health and Human Rights'[The Uncounted] pushes those in global health governance to reflect on how data are selected and examined … offering not a neatly packaged set of solutions, but instead an inclusive opportunity to contest and remake data to be people-centered.' Hanna Huffstetler and Benjamin Mason Meier, Global Public Health'Davis provides a highly readable account of not only what these messy realities look like but, crucially, how tools of data governance work.' Sophie Harman, International Affairs'… must-read book for those academics and activists willing to get their head around the system of AIDS knowledge as well as the social and semantic spaces and new sets of relations that it sets in motion.' Julie Billaud, PoLAR: Political and Legal Anthropology Review'The book is wide in scope and deep in breadth … The Uncounted offers an important window into AIDS governance, opening up ways to study power and the construction of regimes of truth that shape our contemporary world. It should become a must-read book for those academics and activists willing to get their head around the system of AIDS knowledge as well as the social and semantic spaces and new sets of relations that it sets in motion.' Julie Billaud, PoLAR OnlineTable of Contents1. Contested indicators; 2. The uncounted: Key populations; 3. "Something more than data”; 4. Cost-effectiveness and human rights; 5. Modeling the end of AIDS; 6. Sustainability, transition and crisis; 7. Listening to women; 8. "So many hurdles just to leave the house"; 9. The Panopticon and the Potemkin; 10. Data from the ground up.
£31.90
HarperCollins Publishers Inc Nightmare Scenario
Book SynopsisInstant #1 New York Times and Wall Street Journal bestsellerNow in paperback and with a new afterword, Washington Post journalists Yasmeen Abutaleb and Damian Paletta''s definitive account of the Trump administration’s tragic mismanagement of the COVID-19 pandemic, and the chaos, incompetence, and craven politicization that has led to more than a half million American deaths and counting.Since the day Donald Trump was elected, his critics warned that an unexpected crisis would test the former reality-television host—and they predicted that the president would prove unable to meet the moment. In 2020, that crisis came to pass, with the outcomes more devastating and consequential than anyone dared to imagine. Nightmare Scenario is the complete story of Donald Trump’s handling—and mishandling—of the COVID-19 catastrophe, during the period of January 2020 up to Election Day that
£16.14
HarperCollins Publishers Inc Silent Invasion
Book SynopsisTrade ReviewEarnest and exhaustive. — New York Times Book Review The best account we have so far of how Trump’s team botched the pandemic response so badly. . . . Significant . . . the book that should be an indispensable resource for future historians. . . . Deborah Birx offers more detail and nuance than anyone else. — The Atlantic There’s an underappreciated quiet heroism in the steadfast bureaucrat who day after day, for months on end, insists on seeking and spreading the truth. With Silent Invasion, Birx shows us she is a person of extraordinary tenacity who, armed with sound data and a deep sense of duty, fought corrupt forces to save lives as best she knew how. — Washington Post In-depth...In Silent Invasion, Birx reveals just how untenable her position was and, more importantly, what changes need to happen in order to win against the COVID-19 pandemic." — People
£19.00
W. W. Norton & Company Zika The Emerging Epidemic
Book Synopsis
£21.21
John Wiley & Sons Inc Binary Data Analysis of Randomized Clinical
Book SynopsisIt is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used approaches, including both the as-treated (AT) and as-protocol (AP) analysis, and the intent-to-treat (ITT) (or as-randomized) analysis, are all well known to possibly produce a biased inference of the treatment efficacy. This book provides a systematic and organized approach to analyzing data for RCTs with noncompliance under the most frequently-encountered situations. These include parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent Bernoulli sampling for repeated measurements. The author provides a comprehensive approach by using contingency tables to illustrate the latent probability structure of observed data. Using real-life examples, computer-simulated data and exercises in each chapter, the book illustrTrade Review"The book would be well-suited as a reference for biostatisticians, clinicians, researchers, and data analysts - and it would be useful as supplemental reading for academic courses in a variety of related fields." (Book News, 1 August 2011)Table of ContentsPreface. A bout the author. 1 Randomized clinical trials with noncompliance: issues, definitions and problems of commonly used analyses. 1.1 Randomized encouragement design (RED). 1.2 Randomized consent designs. 1.3 Treatment efficacy versus programmatic effectiveness. 1.4 Definitions of commonly used terms and assumptions. 1.5 Mmost commonly used analyses for a RCT with noncompliance. Exercises. 2 Randomized clinical trials with noncompliance under parallel groups design. 2.1 Testing superiority. 2.2 Testing noninferiority. 2.3 Testing equivalence. 2.4 Interval estimation. 2.5 Sample size determination. 2.6 Risk model-based approach. Exercises. Appendix. 3 Randomized clinical trials with noncompliance in stratified sampling. 3.1 Testing superiority. 3.2 Testing noninferiority. 3.3 Testing equivalence . 3.4 Interval estimation. 3.5 Test homogeneity of index in large strata. Exercises. Appendix. 4 Randomized clinical trials with noncompliance under cluster sampling. 4.1 Testing superiority. 4.2 Testing noninferiority. 4.3 Testing equivalence. 4.4 Interval estimation. 4.5 Sample size determination. 4.6 An alternative randomization-based approach. Exercises. Appendix. 5 Randomized clinical trials with both noncompliance and subsequent missing outcomes. 5.1 Testing superiority. 5.2 Testing noninferiority. 5.3 Testing equivalence. 5.4 Interval estimation. 5.5 Sample size determination. 5.6 An alternative missing at random (MAR) model. Exercises. Appendix. 6 Randomized clinical trials with noncompliance in repeated binary measurements. 6.1 Testing superiority. 6.2 Testing noninferiority. 6.3 Testing equivalence. 6.4 Interval estimation. 6.5 Sample size determination. Exercises. References. Index.
£80.70
John Wiley & Sons Inc Quality of Life Outcomes in Clinical Trials and
Book SynopsisAn essential, up-to-date guide to the design of studies and selection of the correct QoL instruments for observational studies and clinical trials. Quality of Life (QoL) outcomes or Person/Patient Reported Outcome Measures (PROMs) are now frequently being used in randomised controlled trials (RCTs) and observational studies.Trade Review"The book covers a wide range of issues and techniques. ... Subjects are exposed clearly, with the obvious aim of being accessible to clinicians unfamiliar with mathematical formalism, and the methods are nicely illustrated with QoL data examples." (Journal of Biopharmaceutical Statistics, April 2010)Table of ContentsPreface. 1 Introduction. Summary. 1.1 What is quality of life? 1.2 Terminology. 1.3 History. 1.4 Types of quality of life measures. 1.5 Why measure quality of life? 1.6 Further reading. 2 Measuring quality of life. Summary. 2.1 Introduction. 2.2 Principles of measurement scales. 2.3 Indicator and causal variables. 2.4 The traditional psychometric model. 2.5 Item response theory. 2.6 Clinimetricscal. 2.7 Measuring quality of life: indicator or causal items. 2.8 Developing and testing questionnaires. 2.9 Further reading. 3 Choosing a quality of life measure for your study. Summary. 3.1 Introduction. 3.2 How to choose between instruments. 3.3 Appropriateness. 3.4 Acceptability. 3.5 Feasibility. 3.6 Validity. 3.7 Reliability. 3.8 Responsiveness. 3.9 Precision. 3.10 Interpretability. 3.11 Finding quality of life instruments. 4 Design and sample size issues: How many subjects do I need for my study? Summary. 4.1 Introduction. 4.2 Significance tests, P-values and power. 4.3 Sample sizes for comparison of two independent groups. 4.4 Choice of sample size method with quality of life outcomes. 4.5 Paired data. 4.6 Equivalence/non-inferiority studies. 4.7 Unknown standard deviation and effect size. 4.8 Cluster randomized controlled trials. 4.9 Non-response. 4.10 Unequal groups. 4.11 Multiple outcomes/endpoints. 4.12 Three or more groups. 4.13 What if we are doing a survey, not a clinical trial?. 4.14 Sample sizes for reliability and method comparison studies. 4.15 Post-hoc sample size calculations. 4.16 Conclusion: Usefulness of sample size calculations. 4.17 Further reading. 5 Reliability and method comparison studies for quality of life measurements. Summary. 5.1 Introduction. 5.2 Intra-class correlation coefficient. 5.3 Agreement between individual items on a quality of life questionnaire. 5.4 Internal consistency and Cronbach's alpha. 5.5 Graphical methods for assessing reliability or agreement between two quality of life measures or assessments. 5.6 Further reading. 5.7 Technical details. 6 Summarizing, tabulating and graphically displaying quality of life outcomes. Summary. 6.1 Introduction. 6.2 Graphs. 6.3 Describing and summarizing quality of life data. 6.4 Presenting quality of life data and results in tables and graphs. 7 Cross-sectional analysis of quality of life outcomes. Summary. 7.1 Introduction. 7.2 Hypothesis testing (using P-values). 7.3 Estimation (using confidence intervals). 7.4 Choosing the statistical method. 7.5 Comparison of two independent groups. 7.6 Comparing more than two groups. 7.7 Two groups of paired observations. 7.8 The relationship between two continuous variables. 7.9 Correlation. 7.10 Regression. 7.11 Multiple regression. 7.12 Regression or correlation?. 7.13 Parametric versus non-parametric methods. 7.14 Technical details: Checking the assumptions for a linear regression analysis. 8 Randomized controlled trials. Summary. 8.1 Introduction. 8.2 Randomized controlled trials. 8.3 Protocols. 8.4 Pragmatic and explanatory trials. 8.5 Intention-to-treat and per-protocol analyses. 8.6 Patient flow diagram. 8.7 Comparison of entry characteristics. 8.8 Incomplete data. 8.9 Main analysis. 8.10 Interpretation of changes/differences in quality of life scores. 8.11 Superiority and equivalence trials. 8.12 Adjusting for other variables. 8.13 Three methods of analysis for pre-test/post-test control group designs. 8.14 Cross-over trials. 8.15 Factorial trials. 8.16 Cluster randomized controlled trials. 8.17 Further reading. 9 Exploring and modelling longitudinal quality of life data. Summary. 9.1 Introduction. 9.2 Summarizing, tabulating and graphically displaying repeated QoL assessments. 9.3 Time-by-time analysis. 9.4 Response feature analysis – the use of summary measures. 9.5 Modelling of longitudinal data. 9.6 Conclusions. 10 Advanced methods for analysing quality of life outcomes. Summary. 10.1 Introduction. 10.2 Bootstrap methods. 10.3 Bootstrap methods for confidence interval estimation. 10.4 Ordinal regression. 10.5 Comparing two independent groups: Ordinal quality of life measures (with less than 7 categories). 10.6 Proportional odds or cumulative logit model. 10.7 Continuation ratio model. 10.8 Stereotype logistic model. 10.9 Conclusions and further reading. 11 Economic evaluations. Summary. 11.1 Introduction. 11.2 Economic evaluations. 11.3 Utilities and QALYs. 11.4 Economic evaluations alongside a controlled trial. 11.5 Cost-effectiveness analysis. 11.6 Cost–effectiveness ratios. 11.7 Cost–utility analysis and cost–utility ratios. 11.8 Incremental cost per QALY. 11.9 The problem of negative (and positive) incremental cost–effectiveness ratios. 11.10 Cost-effectiveness acceptability curves. 11.11 Further reading. 12 Meta-analysis. Summary. 12.1 Introduction. 12.2 Planning a meta-analysis. 12.3 Statistical methods in meta-analysis. 12.4 Presentation of results. 12.5 Conclusion. 12.6 Further reading. 13 Practical issues. Summary. 13.1 Missing data. 13.2 Multiplicity, multi-dimensionality and multiple quality of life outcomes. 13.3 Guidelines for reporting quality of life studies. Solutions to exercises. Appendix A: Examples of questionnaires. Appendix B: Statistical tables. References. Index.
£69.30
Random House USA Inc 2020
Book SynopsisA meticulously reported, character-driven, unforgettable investigation of a time when nothing was certain and everything was at stake, by the acclaimed sociologist and best-selling author Eric Klinenberg “A gripping, deeply moving account of a signal year in modern history, told through the stories of seven ordinary people. Klinenberg’s narrative shows how the legacy of that year continues to shape us, our politics and our personal lives.”—Siddhartha Mukherjee, Pulitzer Prize-winning author of The Emperor of All Maladies • I can easily see this book being invaluable in the future.—Stuart Miller, Los Angeles Times2020 will go down alongside 1914, 1929, and 1968 as one of the most consequential years in history. This riveting and affecting book is the first attempt to capture the full human experience of that fateful time.At the heart of 2020 are seven vivid profiles of ordinary New Yorkers—including an elementary school principal, a bar manager, a subway custodian, and a local political aide—whose experiences illuminate how Americans, and people across the globe, reckoned with 2020. Through these poignant stories, we revisit our own moments of hope and fear, the profound tragedies and losses in our communities, the mutual aid networks that brought us together, and the social movements that hinted at the possibilities of a better world.Eric Klinenberg vividly captures these stories, casting them against the backdrop of a high-stakes presidential election, a surge of misinformation, rising distrust, and raging protests. We move from the epicenter in New York City to Washington and London, where political leaders made the crisis so much more lethal than it had to be. We bear witness to epidemiological battles in Wuhan and Beijing, along with the initiatives of scientists, citizens, and policy makers in Australia, Japan, and Taiwan, who worked together to save lives.Klinenberg allows us to see 2020—and, ultimately, ourselves—with unprecedented clarity and empathy. His book not only helps us reckon with what we lived through, but also with the challenges we face before the next crisis arrives.
£14.30
Johns Hopkins University Press TwentyFirst Century Plague The Story of SARS
Book SynopsisFrom his seat, 14E, he infected 21 other passengers and crew members.Trade ReviewTwenty-First Century Plague describes many of the people, events, political settings, and other contributing factors in a fascinating view of the story behind the story of the outbreak. Science 2005 Abraham gives us an excellent and dispassionate account of the cultural and political background to the cover-up and the unfortunate consequences. Nature 2005 The book is richly filled with facts, and they are conveyed in a captivating manner. It is as impressive as the film Outbreak. New England Journal of Medicine 2005 Abraham offers insights into the 'dos and don'ts' of managing a public health crisis and provides key learning points. JAMA 2005 A ringside account of the world's recent encounter with the emerging infectious disease SARS. Engagingly written by an accomplished journalist. American Scientist 2005 The rush to contain and unmask the agent responsible... had more plot twists than anything Robert Ludlum ever wrote. The Lancet 2005 The book provides an important summary of many aspects of the global experience with a new disease and discusses important lessons learned from the SARS response. Journal of Clinical Investigation 2006 In this detailed report by Abraham, the inability of health care systems to cope with such newly emergent infections is clear. Choice 2005 A beautifully written book. Medical History 2007 Timely and well-presented. -- Debra Rose Wilson and William A. Wilson Journal of Health Care for the Poor and Underserved 2010Table of ContentsAcknowledgementsChapter 1. IntroductionChapter 2. ChinaChapter 3. Hong KongChapter 4. A Global EmergencyChapter 5. The Virus HuntChapter 6. ConclusionAppendix 1Appendix 2NotesIndex
£25.54
John Wiley and Sons Ltd Handbook for Clinical Trials of Imaging and
Book SynopsisThis book focuses on educating radiologists, radiation oncologists and others interested in imaging research about how to design and conduct clinical trials to evaluate imaging technology and imaging biomarkers.Table of ContentsContributors, vi Chapter 1 Imaging technology assessment, 1Pari V. Pandharipande and G. Scott Gazelle Chapter 2 Clinical trials of therapy, 10Sayeh Lavasani, Anthony F. Shields and Ali Mahinbakht Chapter 3 Clinical trials of image]guided interventions including radiotherapy studies, 29Gary S. Dorfman and Stephen M. Hahn Chapter 4 Imaging as a predictor of therapeutic response, 57David A. Mankoff and Anthony F. Shields Chapter 5 Screening trials and design, 76Janie M. Lee, Constance D. Lehman and Diana L. Miglioretti Chapter 6 Practicalities of running a clinical trial, 91Michael T. Lu, Elizabeth C. Adami and Udo Hoffmann Chapter 7 Statistical issues in study design, 103Nancy A. Obuchowski Chapter 8 Introduction to biostatistical methods, 126Diana L. Miglioretti, Todd A. Alonzo and Nancy A. Obuchowski Chapter 9 Methods for studies of diagnostic tests, 147Jeffrey D. Blume Chapter 10 Methods for quantitative imaging biomarker studies, 170Alicia Y. Toledano and Nancy A. Obuchowski Chapter 11 Introduction to cost]effectiveness analysis in clinical trials, 189Ruth C. Carlos and G. Scott Gazelle Index, 208
£82.60
John Wiley & Sons Inc Biostatistics
Book SynopsisThe ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understandand appropriately useprobability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference.Table of ContentsPREFACE vii 1 INTRODUCTION TO BIOSTATISTICS 1 1.1 Introduction, 2 1.2 Basic Concepts and Definitions, 2 1.3 Measurement and Measurement Scales, 5 1.4 Sampling and Statistical Inference, 7 Exercises, 12 1.5 The Scientific Method, 13 Exercises, 15 1.6 Computers and Technology, 15 1.7 Summary, 16 Review Questions and Exercises, 16 References, 17 2 DESCRIPTIVE STATISTICS 18 2.1 Introduction, 19 2.2 The Ordered Array, 19 2.3 Frequency Tables, 21 Exercises, 25 2.4 Measures of Central Tendency, 29 2.5 Measures of Dispersion, 34 Exercises, 41 2.6 Visualizing Data, 43 Exercises, 51 2.7 Summary, 51 Summary of Formulas for Chapter 2, 51 Review Questions and Exercises, 53 References, 56 3 SOME BASIC PROBABILITY CONCEPTS 57 3.1 Introduction, 57 3.2 Two Views of Probability: Objective and Subjective, 58 3.3 Elementary Properties of Probability, 60 3.4 Calculating the Probability of an Event, 61 Exercises, 68 3.5 Bayes’ Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative, 69 Exercises, 73 3.6 Summary, 74 Summary of Formulas for Chapter 3, 75 Review Questions and Exercises, 76 References, 79 4 PROBABILITY DISTRIBUTIONS 80 4.1 Introduction, 81 4.2 Probability Distributions of Discrete Variables, 81 Exercises, 86 4.3 The Binomial Distribution, 87 Exercises, 95 4.4 The Poisson Distribution, 96 Exercises, 100 4.5 Continuous Probability Distributions, 101 4.6 The Normal Distribution, 103 Exercises, 109 4.7 Normal Distribution Applications, 109 Exercises, 113 4.8 Summary, 114 Summary of Formulas for Chapter 4, 114 Review Questions and Exercises, 115 References, 117 5 SOME IMPORTANT SAMPLING DISTRIBUTIONS 119 5.1 Introduction, 119 5.2 Sampling Distributions, 120 5.3 Distribution of the Sample Mean, 121 Exercises, 128 5.4 Distribution of the Difference between Two Sample Means, 129 Exercises, 133 5.5 Distribution of the Sample Proportion, 134 Exercises, 136 5.6 Distribution of the Difference between Two Sample Proportions, 137 Exercises, 139 5.7 Summary, 139 Summary of Formulas for Chapter 5, 140 Review Questions and Exercises, 140 References, 141 6 ESTIMATION 143 6.1 Introduction, 144 6.2 Confidence Interval for a Population Mean, 147 Exercises, 152 6.3 The t Distribution, 153 Exercises, 157 6.4 Confidence Interval for the Difference between Two Population Means, 158 Exercises, 164 6.5 Confidence Interval for a Population Proportion, 165 Exercises, 166 6.6 Confidence Interval for the Difference between Two Population Proportions, 167 Exercises, 168 6.7 Determination of Sample Size for Estimating Means, 169 Exercises, 171 6.8 Determination of Sample Size for Estimating Proportions, 171 Exercises, 172 6.9 The Chi-Square Distribution and the Confidence Interval for the Variance of a Normally Distributed Population, 173 Exercises, 177 6.10 The F-Distribution and the Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations, 177 Exercises, 180 6.11 Summary, 181 Summary of Formulas for Chapter 6, 182 Review Questions and Exercises, 183 References, 186 7 HYPOTHESIS TESTING 189 7.1 Introduction, 190 7.2 Hypothesis Testing: A Single Population Mean, 200 Exercises, 211 7.3 Hypothesis Testing: The Difference between Two Population Means, 213 Exercises, 221 7.4 Paired Comparisons, 224 Exercises, 229 7.5 Hypothesis Testing: A Single Population Proportion, 232 Exercises, 234 7.6 Hypothesis Testing: The Difference between Two Population Proportions, 235 Exercises, 236 7.7 Hypothesis Testing: A Single Population Variance, 238 Exercises, 240 7.8 Hypothesis Testing: The Ratio of Two Population Variances, 241 Exercises, 244 7.9 The Type II Error and the Power of a Test, 245 Exercises, 249 7.10 Determining Sample Size to Control Type II Errors, 249 Exercises, 251 7.11 Summary, 251 Summary of Formulas for Chapter 7, 252 Review Questions and Exercises, 254 References, 264 8 ANALYSIS OF VARIANCE 267 8.1 Introduction, 268 8.2 The Completely Randomized Design, 271 Exercises, 289 8.3 The Randomized Complete Block Design, 294 Exercises, 301 8.4 The Repeated Measures Design, 305 Exercises, 313 8.5 The Factorial Experiment, 315 Exercises, 326 8.6 Summary, 329 Summary of Formulas for Chapter 8, 329 Review Questions and Exercises, 331 References, 350 9 SIMPLE LINEAR REGRESSION AND CORRELATION 354 9.1 Introduction, 355 9.2 The Regression Model, 355 9.3 The Sample Regression Equation, 357 Exercises, 364 9.4 Evaluating the Regression Equation, 366 Exercises, 380 9.5 Using the Regression Equation, 380 Exercises, 384 9.6 The Correlation Model, 384 9.7 The Correlation Coefficient, 386 Exercises, 394 9.8 Some Precautions, 397 9.9 Summary, 398 Summary of Formulas for Chapter 9, 399 Review Questions and Exercises, 401 References, 413 10 MULTIPLE REGRESSION AND CORRELATION 416 10.1 Introduction, 417 10.2 The Multiple Linear Regression Model, 417 10.3 Obtaining the Multiple Regression Equation, 418 Exercises, 423 10.4 Evaluating the Multiple Regression Equation, 427 Exercises, 433 10.5 Using the Multiple Regression Equation, 433 Exercises, 435 10.6 The Multiple Correlation Model, 435 Exercises, 443 10.7 Summary, 446 Summary of Formulas for Chapter 10, 447 Review Questions and Exercises, 448 References, 454 11 REGRESSION ANALYSIS: SOME ADDITIONAL TECHNIQUES 455 11.1 Introduction, 455 11.2 Qualitative Independent Variables, 459 Exercises, 472 11.3 Variable Selection Procedures, 474 Exercises, 478 11.4 Logistic Regression, 485 Exercises, 495 11.5 Poisson Regression, 497 Exercises, 503 11.6 Summary, 504 Summary of Formulas for Chapter 11, 505 Review Questions and Exercises, 506 References, 517 12 ThE CHI-SQUARE DISTRIBUTION AND THE ANALYSIS OF FREQUENCIES 519 12.1 Introduction, 520 12.2 The Mathematical Properties of the Chi-Square Distribution, 520 12.3 Tests of Goodness-of-Fit, 523 Exercises, 533 12.4 Tests of Independence, 535 Exercises, 544 12.5 Tests of Homogeneity, 545 Exercises, 551 12.6 The Fisher’s Exact Test, 552 Exercises, 557 12.7 Relative Risk, Odds Ratio, and the Mantel–Haenszel Statistic, 557 Exercises, 567 12.8 Summary, 569 Summary of Formulas for Chapter 12, 570 Review Questions and Exercises, 571 References, 576 13 NONPARAMETRIC AND DISTRIBUTION-FREE STATISTICS 579 13.1 Introduction, 580 13.2 Measurement Scales, 581 13.3 The Sign Test, 581 Exercises, 588 13.4 The Wilcoxon Signed-Rank Test for Location, 589 Exercises, 593 13.5 The Median Test, 594 Exercises, 596 13.6 The Mann–Whitney Test, 597 Exercises, 602 13.7 The Kolmogorov–Smirnov Goodness-of-Fit Test, 604 Exercises, 610 13.8 The Kruskal–Wallis One-Way Analysis of Variance by Ranks, 610 Exercises, 615 13.9 The Friedman Two-Way Analysis of Variance by Ranks, 618 Exercises, 622 13.10 The Spearman Rank Correlation Coefficient, 623 Exercises, 629 13.11 Nonparametric Regression Analysis, 631 Exercises, 634 13.12 Summary, 634 Summary of Formulas for Chapter 13, 635 Review Questions and Exercises, 636 References, 644 14 SURVIVAL ANALYSIS 646 14.1 Introduction, 647 14.2 Time-to-Event Data and Censoring, 647 14.3 The Kaplan–Meier Procedure, 651 Exercises, 656 14.4 Comparing Survival Curves, 658 Exercises, 661 14.5 Cox Regression: The Proportional Hazards Model, 663 Exercises, 666 14.6 Summary, 667 Summary of Formulas for Chapter 14, 667 Review Questions and Exercises, 668 References, 669 15 VITAL STATISTICS 671 15.1 Introduction, 671 15.2 Death Rates and Ratios, 672 Exercises, 677 15.3 Measures of Fertility, 679 Exercises, 681 15.4 Measures of Morbidity, 682 Exercises, 683 15.5 Summary, 683 Summary of Formulas for Chapter 15, 684 Review Questions and Exercises, 685 References, 686 INDEX 689 The following supplements are available through your instructor APPENDIX: STATISTICAL TABLES ANSWERS TO SELECTED PROBLEMS
£105.00
John Wiley and Sons Ltd Zika Virus and Diseases
Book SynopsisCompiles the most current information on the Zika virus and its associated diseases This comprehensive book provides the most up-to-date information for students, medical students, and scientists on Zika virus and its associated diseases. It includes all the information related to the Zika virus since its discovery in 1947; its epidemic outbreak in 2007-2014; how the epidemiology changed in America in 2015-2016; its mode of transmission; how to prevent and treat it; and associated diseases. Zika Virus and Diseases: From Molecular Biology to Epidemiology offers complete and up-to-date coverage in 10 chapters. It presents information from papers that attempted to associate the virus with diseases in Africa until the first animal experiment; discusses its association with Guillain-Barré syndrome and microcephaly; describes the basic mechanisms for Zika (ZIKV) replication, including important differences between Dengue (DENV), West-Nile virus (WNV), and ZIKV;Table of ContentsPreface ix List of Abbreviations xi 1 The History of ZIKV Discovery 1 1.1 ZIKV Isolation from Monkeys and Mosquitos 1 1.2 ZIKV Infection in Humans 6 1.3 ZIKV Infection Spread to Other Hosts and Regions 7 1.4 Cross‐Paths between ZIKV and Other Flaviviruses 9 References 10 2 ZIKV: From Silent to Epidemic 15 2.1 Outbreak in Yap Island (2007) 15 2.2 Outbreak in French Polynesia (2013) 16 2.3 How Did ZIKV Reach Brazil? 18 2.4 Outbreak in Brazil (2015) 18 2.5 ZIKV Spread through South, Central, and North Americas 20 References 22 3 ZIKV Transmission and Prevention 29 3.1 Modes of Transmission 29 3.2 Prevention 37 References 40 4 Association with Guillain‐Barre Syndrome and Microcephaly 49 4.1 Association with Neurological Disorders 49 References 58 5 ZIKV Animal Models 69 5.1 Animal Models: Embryonated Hen Eggs 69 5.2 Animal Models: Landrace Piglet 69 5.3 Animal Models: Mice 70 5.4 Animal Model: Nonhuman Primate 74 References 78 6 Biology of ZIKV 83 6.1 Structural and Physical Properties of ZIKV Virion 84 6.2 Binding and Entry 87 6.3 Genome Structure 89 6.4 Translation and Proteolytic Processing 91 6.5 Features of the Nonstructural Proteins 92 6.6 RNA Replication 100 6.7 Features of the Structural Proteins 104 6.8 Virus Assembly and Release from Virus‐Infected Cells 107 References 109 7 Zika Virus (ZIKV) Strains and Lineages 131 7.1 East and West African Lineage 131 7.2 Africa vs. Asian/American Lineage 132 References 140 8 ZIKV‐Host Interactions 147 8.1 Systematic Studies to Identify ZIKV Affected Functions and Pathways 147 8.2 Induction and Dysregulation of Innate Immune Responses during ZIKV Infection 150 8.3 Induction of Cell Death and Apoptosis by ZIKV 156 8.4 Induction of Autophagy by ZIKV 160 8.5 Dysregulation of Cell Cycle and Induction of Abnormal Mitosis by ZIKV 163 References 164 9 Inhibitors of ZIKV Replication and Infection 179 9.1 Drugs That Lead to the Destruction of ZIKV Virions 179 9.2 Drugs That Inhibit ZIKV Entry and Endocytosis 180 9.3 Drugs That Target ZIKV NS2B‐NS3 Protease Activity 186 9.4 Drugs That Target ZIKV NS5 RNA‐Dependent RNA Polymerase Activity 191 9.5 Neutralizing Antibodies That Target ZIKV Structural Protein 200 9.6 Drugs That Inhibit ZIKV Infection by Targeting Host Machinery 201 9.7 Drugs That Show Neuroprotective Activity but Do Not Suppress ZIKV Replication: Emricasan 205 9.8 Other Drugs That Inhibit ZIKV Infection Identified from a Screening of FDA‐Approved Drugs 206 References 210 10 Long‐Term Care and Perspectives 229 10.1 Prenatal Care and Diagnosis of Abnormal Fetus Development 229 10.2 Long‐Term Care for Patients Affected by ZIKV 230 10.3 Assistance to Families with Children Affected by ZIKV 230 10.4 Perspectives 231 References 232 Index 237
£103.50
Johns Hopkins University Press Mapping Disease Transmission Risk
Book SynopsisAnyone working in the area of disease transmission, particularly those employing predictive maps, will find Peterson's book both inspiring and indispensable.Trade ReviewIn this pioneering work... A. Townsend Peterson breaks new ground... Peterson's approach holds potentially enormous benefits for those charged with determining how disease spreads, and how to control that spread. -- Venkat Subramaniam Biz India Magazine His main thesis is repeated like a mantra throughout the text, and was well received by me--disease mapping must move beyond geography and better incorporate ecology and biogeography. Peterson defends this thesis over 20 (mostly very short) chapters primarily via a broad, conceptual overview focused on methodological considerations and caveats to ecological niche modeling (ENM), and through brief descriptions of numerous relevant case studies. Quarterly Review of BiologyTable of ContentsPrefaceAcknowledgments1. IntroductionEcology and BiogeographyThis BookConclusionsPart I: Distributional Ecology2. General Conceptual Framework for Species' DistributionsHistorical BackgroundA General Schema of Distributional EcologyDisease SystemsConclusions3. Status of Data for Understanding Disease DistributionsDisease Case-Occurrence Data SetsRelevant Biodiversity Occurrence Data SetsGeoreferencingThe Meaning of No RecordsConclusions4. Current Tools for Understanding Disease DistributionsThe Current ToolkitShortcomings of the Current MethodologiesConclusionsPart II: Disease Modeling Basics5. Modifications to the Basic FrameworkDisease PeculiaritiesReal-World Examples: West Nile Virus and OthersImplications for Disease ModelingConclusions6. Modeling Components versus OutcomesDisease Transmission Systems as Sets of Interacting SpeciesBlack-Box ApproachesComponent-Based ApproachesCombined ApproachesConclusions7. Space-Only versus Space-and-Environment ModelsExamples and IllustrationsContrasting the Two Types of ModelsConclusionsPart III: Preparing the Data8. Garbage-In-Garbage-Out PrincipleProblems with Data QualityBiases Created by GeographyConclusions9. Assembling Occurrence DataGeneral ConsiderationsObtaining and Improving Occurrence DataCompatibility and Study DesignConclusions10. Assembling Environmental DataRelevance to Species' DistributionsGeneral ConsiderationsModifiable Areal Unit ProblemSpecific Data ResourcesConclusions11. Study Areas and BAMDefining the Area MSampling ConsiderationsBAM ConfigurationsDetails of M and A for Model TransfersConclusionsPart IV: Developing Models12. Calibrating Niche ModelsIntroduction to Niche ModelsNuts and BoltsCalibrating the "Best" ModelTransferring and ExtrapolatingCharacterizing Ecological NichesConclusions13. Processing Raw Outputs into Useful MapsChoosing Appropriate ThresholdsFrom Potential to Actual DistributionsProjecting and Transferring ModelsConclusions14. Evaluating Niche ModelsControversies and Inappropriate ApproachesBasic ConceptsThe Confusion Matrix and Its ImplicationsBinary Model EvaluationContinuous Model EvaluationModel Evaluation and Model PerformanceConclusions15. Developing Risk MapsInitial EstimatesRisk ModifiersType I versus Type II ErrorsOverlay, Testing, and SimulationConclusionsPart V: Examples of Applications16. Identifying Risk FactorsBlack-Box Disease EcologyVector EcologyHuman VariablesImprovements and Future StepsSpatial Interpolation and PredictionBlack-Box ExamplesComponent-Based ExamplesImprovements and Future Steps18. Identifying Species Involved in Transmission CyclesIdentifying Guilty SpeciesUnderstanding Transmission SystemsDetecting Movement VectorsComplete UnknownsImprovements and Future Steps19. Responses to Environmental ChangeEarly Mechanistic ModelsEmpirical Niche Model Projections of Climate ChangeMechanistic versus Empirical ModelImprovements and Future Steps20. ConclusionsLiterature CitedIndex
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American Society for Microbiology Paleomicrobiology of Humans
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Health Administration Press Managerial Epidemiology Cases and Concepts
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V&R unipress GmbH Nicht 1% Schizophrene: Risiken, Einflussfaktoren,
Book SynopsisWährend psychiatrische Lehrbücher, Lexika und pauschalisierende Texte noch immer behaupten, dass weltweit durchschnittlich 1 % der Menschen schizophren erkranken, widerlegt Florian Langegger diese Aussage anhand neuer wissenschaftlicher Daten. Denn die neuere Forschung erkennt und bestätigt, dass eine Vielzahl genetischer Varianten und Umwelteinflüsse verändernd auf Anatomie und Funktion des Gehirns und auf das Befinden von Menschen einwirken und zu den klinischen Bildern führen, die wir uns angewöhnt haben unter dem Etikett Schizophrenie zu subsumieren. Vermutlich ist keine andere Krankheit, was ihre Entstehung, Diagnostik, Symptomatik, persönliche und gesellschaftliche Bedeutung und ihren Verlauf betrifft, so sehr von ihrem geographischen, klimatischen, diätetischen, hygienischen, gesellschaftlichen, familiären und geistigen Kontext abhängig wie die Zustände, die unter Schizophrenie zusammengefasst werden. Recent research recognizes and confirms, that there is a multitude of genetic variations and environmental influences modifying anatomy and function of the brain and mental states of individuals, leading to clinical phenotypes we have gotten used to subsume under the label schizophrenia. There is probably no other disease, concerning its origin, diagnosis, symptoms personal and sociologic meaning and course, so much depending on geography, climate, diet, hygiene, social, familiar and mental, spiritual and intellectual context, as the states that are summed up under the term ''Schizophrenia''.
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World Health Organization WHO expert consultation on rabies second report
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World Health Organization Handbook for integrated vector management
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