Statistical Methods for Rates and Proportions

"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.