Synopses & Reviews
"This book is to be recommended as a standard shelf reference . . . and as a ‘must’ to be read by all who wish to better use and understand data involving dichotomous or dichotomizable measurements."
— American Journal of Psychiatry
In the two decades since the second edition of Statistical Methods for Rates and Proportions was published, evolving technologies and new methodologies have significantly changed the way today’s statistics are viewed and handled. The explosive development of personal computing and statistical software has facilitated the sophisticated analysis of data, putting capabilities that were once the domain of specialists into the hands of every researcher.
The Third Edition of this important text addresses these changes and brings the literature up to date. While the previous edition focused on the use of desktop and handheld calculators, the new edition takes full advantage of modern computing power without losing the elegant simplicity that made the text so popular with students and practitioners alike. In authoritative yet clear terminology, the authors have brought the science of data analysis up to date without compromising its accessibility.
Features of the Third Edition include:
- New material on sample size calculations and issues in clinical trials, and entirely new chapters on single-sample data, logistic regression, Poisson regression, regression models for matched samples, the analysis of correlated binary data, and methods for analyzing fourfold tables with missing data
- The addition of many new problems, both numerical and theoretical
- Answer sections for numerical problems and hints for tackling the theoretical ones
- A frequentist approach enhanced by the inclusion of empirical Bayesian methodology where appropriate
Combining the latest research with the original studies that established the previous editions as leaders in the field, Statistical Methods for Rates and Proportions, Third Edition will continue to be an invaluable resource for students, statisticians, biostatisticians, and epidemiologists.
Review
"A well written specialized book by Fleiss et al. illustrates in detail the definitions and importance of rates in health and other data analysis." (
Journal of Statistical Computation and Simulation, April 2005)
"…the definitive text of context, method and application for the efficient analysis of rates and proportions…" (Statistics in Medicine, Vol 24 (17), 15thSeptember 2005)
"…well written in a thoroughly readable style. I highly recommend this book…" (Statistical Methods in Medical Research, Vol. 14, 2005)
"…persons who regularly encounter this type of data would certainly want this book available as one of their desk-top references." (Technometrics, May 2004)
Synopsis
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
Synopsis
- Includes a new chapter on logistic regression.
- Discusses the design and analysis of random trials.
- Explores the latest applications of sample size tables.
- Contains a new section on binomial distribution.
Synopsis
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.
About the Author
About the Author JOSEPH L. FLEISS is Professor and Head of the Division of Biostatistics at the Columbia University School of Public Health. He is also Research Scientist, Biometrics Research Unit, New York State Psychiatric Institute. Dr. Fleiss is the recipient of the 1973 Spiegelman Gold Medal from the Statistics Section of the American Public Health Association, and a Fellow in the American Statistical Association. He received a Ph.D. degree in mathematical statistics and an M.S. degree in biostatistics, both at Columbia University.
Table of Contents
An Introduction to Applied Probability.
Assessing Significance in a Fourfold Table.
Determining Sample Sizes Needed to Detect a Difference Between Two Proportions.
How to Randomize.
Sampling Method I: Naturalistic or Cross-Sectional Studies.
Sampling Method II: Prospective and Retrospective Studies.
Sampling Method III: Controlled Comparative Trials.
The Analysis of Data from Matched Samples.
Comparison of Proportions from Several Independent Samples.
Combining Evidence from Fourfold Tables.
Effects of Misclassification Errors.
Control of Misclassification Error.
Measurement of Inter-rate Agreement.
Standardization of Rates.
Appendixes.
Answers to Numerical Problems.
Indexes.