Statistical Methods for Rates and Proportions: Edition 3

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"This book is to be recommended as a standard shelf reference . . .and as a ‘must’ to be read by all who wish to betteruse and understand data involving dichotomous or dichotomizablemeasurements."
American Journal of Psychiatry

In the two decades since the second edition of StatisticalMethods for Rates and Proportions was published, evolvingtechnologies and new methodologies have significantly changed theway today’s statistics are viewed and handled. The explosivedevelopment of personal computing and statistical software hasfacilitated the sophisticated analysis of data, puttingcapabilities that were once the domain of specialists into thehands of every researcher.

The Third Edition of this important text addresses thesechanges and brings the literature up to date. While the previousedition focused on the use of desktop and handheld calculators, thenew edition takes full advantage of modern computing power withoutlosing the elegant simplicity that made the text so popular withstudents and practitioners alike. In authoritative yet clearterminology, the authors have brought the science of data analysisup to date without compromising its accessibility.

Features of the Third Edition include:

  • New material on sample size calculations and issues in clinicaltrials, and entirely new chapters on single-sample data, logisticregression, Poisson regression, regression models for matchedsamples, the analysis of correlated binary data, and methods foranalyzing fourfold tables with missing data
  • The addition of many new problems, both numerical andtheoretical
  • Answer sections for numerical problems and hints for tacklingthe theoretical ones
  • A frequentist approach enhanced by the inclusion of empiricalBayesian methodology where appropriate

Combining the latest research with the original studies thatestablished the previous editions as leaders in the field,Statistical Methods for Rates and Proportions, Third Editionwill continue to be an invaluable resource for students,statisticians, biostatisticians, and epidemiologists.

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About the author

JOSEPH L. FLEISS, PhD, headed the Division of Biostatisticsat Columbia University’s Mailman School of Public Health inNew York for seventeen years. He is also the author of a previousbook, The Design and Analysis of Clinical Experiments, alsofrom Wiley.

BRUCE LEVIN, PhD, is the current Chair of the Departmentof Biostatistics at Columbia University. His research interestsinclude categorical data analysis, clinical trials, sequentialexperimentation, statistics in law, and reproductiveepidemiology.

MYUNGHEE CHO PAIK, PhD, is a professor in the Departmentof Biostatistics at Columbia University’s Mailman School ofPublic Health.

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Additional Information

Publisher
John Wiley & Sons
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Published on
Jun 12, 2013
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Pages
800
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ISBN
9781118625613
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Language
English
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Genres
Mathematics / Probability & Statistics / Stochastic Processes
Medical / Biostatistics
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Content Protection
This content is DRM protected.
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Available on Android devices
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Praise for the Third Edition

“. . . an easy-to read introduction to survival analysiswhich covers the major concepts and techniques of thesubject.” —Statistics in Medical Research

Updated and expanded to reflect the latest developments,Statistical Methods for Survival Data Analysis, FourthEdition continues to deliver a comprehensive introduction tothe most commonly-used methods for analyzing survival data.Authored by a uniquely well-qualified author team, the FourthEdition is a critically acclaimed guide to statistical methods withapplications in clinical trials, epidemiology, areas of business,and the social sciences. The book features many real-world examplesto illustrate applications within these various fields, althoughspecial consideration is given to the study of survival data inbiomedical sciences.

Emphasizing the latest research and providing the mostup-to-date information regarding software applications in thefield, Statistical Methods for Survival Data Analysis, FourthEdition also includes:

Marginal and random effect models for analyzing correlatedcensored or uncensored dataMultiple types of two-sample and K-sample comparisonanalysisUpdated treatment of parametric methods for regression modelfitting with a new focus on accelerated failure time modelsExpanded coverage of the Cox proportional hazards modelExercises at the end of each chapter to deepen knowledge of thepresented material

Statistical Methods for Survival Data Analysis is anideal text for upper-undergraduate and graduate-level courses onsurvival data analysis. The book is also an excellent resource forbiomedical investigators, statisticians, and epidemiologists, aswell as researchers in every field in which the analysis ofsurvival data plays a role.

A practical and clarifying approach to aging andaging-related diseases

Providing a thorough and extensive theoretical framework, TheBiostatistics of Aging: From Gompertzian Mortality to an Index ofAging-Relatedness addresses the surprisinglysubtlenotion—with consequential biomedical and public healthrelevance—of what it means for acondition to be related toaging. In this pursuit, the book presents a new quantitativemethodto examine the relative contributions of genetic andenvironmental factors to mortality anddisease incidence in apopulation.

With input from evolutionary biology, population genetics,demography, and epidemiology, this medically motivated bookdescribes an index of aging-relatedness and also features:

Original results on the asymptotic behavior of the minimum oftime-to-event random variables, which extends those of theclassical statistical theory of extreme valuesA comprehensive and satisfactory explanation based onbiological principles of the Gompertz pattern of mortality in humanpopulationsThe development of an evolution-based model of causationrelevant to mortality and aging-related diseases of complexetiologyAn explanation of how and why the description of humanmortality by the Gompertz distribution can be improved upon fromfirst principlesThe amply illustrated analysis of real-world data, including aprogram for conducting the analysis written in the freely availableR statistical softwareTechnical appendices including mathematical material as well asan extensive and multidisciplinary bibliography on aging andaging-related diseases

The Biostatistics of Aging: From Gompertzian Mortality to anIndex of Aging-Relatedness is an excellent resource forpractitioners and researchers with an interest in aging andaging-related diseases from the fields of medicine, biology,gerontology, biostatistics, epidemiology, demography, and publichealth.

A practical and clarifying approach to aging andaging-related diseases

Providing a thorough and extensive theoretical framework, TheBiostatistics of Aging: From Gompertzian Mortality to an Index ofAging-Relatedness addresses the surprisinglysubtlenotion—with consequential biomedical and public healthrelevance—of what it means for acondition to be related toaging. In this pursuit, the book presents a new quantitativemethodto examine the relative contributions of genetic andenvironmental factors to mortality anddisease incidence in apopulation.

With input from evolutionary biology, population genetics,demography, and epidemiology, this medically motivated bookdescribes an index of aging-relatedness and also features:

Original results on the asymptotic behavior of the minimum oftime-to-event random variables, which extends those of theclassical statistical theory of extreme valuesA comprehensive and satisfactory explanation based onbiological principles of the Gompertz pattern of mortality in humanpopulationsThe development of an evolution-based model of causationrelevant to mortality and aging-related diseases of complexetiologyAn explanation of how and why the description of humanmortality by the Gompertz distribution can be improved upon fromfirst principlesThe amply illustrated analysis of real-world data, including aprogram for conducting the analysis written in the freely availableR statistical softwareTechnical appendices including mathematical material as well asan extensive and multidisciplinary bibliography on aging andaging-related diseases

The Biostatistics of Aging: From Gompertzian Mortality to anIndex of Aging-Relatedness is an excellent resource forpractitioners and researchers with an interest in aging andaging-related diseases from the fields of medicine, biology,gerontology, biostatistics, epidemiology, demography, and publichealth.

Statistics for Lawyers is designed to introduce law students, law teachers, practitioners, and judges to the basic ideas of mathematical probability and statistics as they have been applied in the law. The book consists of sections of exposition followed by real-world cases and case studies in which statistical data have played a role. The reader is asked to apply the theory to the facts, to calculate results (a hand calculator is sufficient), and to explore legal issues raised by quantitative findings. The authors' calculations and comments are given in the back of the book. The cases and case studies reflect a broad variety of legal subjects, including antidiscrimination, mass torts, taxation, school finance, identification evidence, preventive detention, handwriting disputes, voting, environmental protection, antitrust, and the death penalty. The first edition of Statistics for Lawyers, which appeared in 1990, has been used in law, statistics, and social science courses. In 1991 it was selected by the University of Michigan Law Review as one of the important law books of the year. This second edition includes many new problems reflecting current developments in the law, including a new chapter on epidemiology. Michael O. Finkelstein is a practicing lawyer in New York City. He has been a member of the adjunct faculty of Columbia University Law School since 1967, teaching Statistics for Lawyers, and has also taught at Harvard, New York University, and Yale Law Schools. He is the author of a book of essays, Quantitative Methods in Law, and numerous law review articles on the applications of statistics in law. He frequently consults and testifies in litigated matters. Bruce Levin is a professor at the Joseph L. Mailman School of Public Health of Columbia University in the Division of Biostatistics. He is the Consulting Editor for Statistics for the American Journal of Public Health, participates in clinical trials, and is the author of numerous articles on the subject of biostatistics. He has consulted and testified as an expert in many law cases involving statistical issues.
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