Statistical Methods for Rates and Proportions (Wiley series in probability and mathematical statistics)

Other volumes in the Wiley Series in Probability and Mathematical Statistics The Statistical Analysis of Failure Time Data J.D. Kalbfleisch & R.L. Prentice This book collects and unifies statistical models and methods that have been proposed for analyzing failure time data. It considers failure time data that arise when items are placed under varying experimental conditions, focusing on regression problems with survival data and specifically the estimation of regression coefficients and distribution shape in the presence of censoring. Special attention has been given to the biomedical sciences, though many of the models and procedures can be applied to industrial and engineering problems. 1980 Statistics A Biomedical Introduction Byron Wm. Brown, Jr. & Myles Hollander Here are the basic methods of introductory statistics, focusing on real-life examples from medicine, public health, and the natural sciences. Probability, hypothesis testing, estimation, analysis of contingency tables, regression analysis, and analysis of variance are all presented in a nonmathematical format. Topics include design and implementation of clinical trials, statistical evaluation of diagnostic tests, methods of randomization, and methods of analyzing survival data with incomplete observations. 1977 Biostatistics Casebook Rupert G. Miller, Jr., Bradley Efron, Byron Wm. Brown, Jr., & Lincoln E. Moses Deals with the statistical aspects of actual biomedical research problems. Provides sufficient scientific background of each problem to motivate and guide the statistical approach. The data are presented in detail, so that the analyses can be checked and alternative approaches attempted. Brings many new and specially developed concepts and techniques to bear on the cases, often applying a variety of techniques to the same data set. 1980

Devoted entirely to the comparison of rates and proportions, this book presents methods for the design and analysis of surveys, studies and experiments when the data are qualitative and categorical. All the statistical methods, illustrated with real or hypothetical data, can be applied using only a desktop or pocket calculator. The estimation of the degree of association or difference assumes equal importance with the assessment of statistical significance. Methods for constructing confidence intervals are described. The chapter on sample size determination has been brought up to date. The concept of attributable risk is defined, and methods are presented for making inferences about it. The book also includes a new chapter on the measurement of interrater agreement for categorical data, and new sections on the design of studies with unequal sample sizes and on the association between two variables both subject to misclassification error. A useful book for anyone concerned with the analysis of categorical data, Statistical Methods for Rates and Proportions, 2nd Ed., is valuable to statisticians, biostatisticians, actuaries, public health workers, epidemiologists, psychometricians and medical researchers. It will also be used by psychologists, sociologists, and teachers of statistics and quantitative research methods.