Statistical Methods for Rates and Proportions

JOSEPH L. FLEISS, PhD, headed the Division of Biostatistics at Columbia University's Mailman School of Public Health in New York for seventeen years. He is also the author of a previous book, The Design and Analysis of Clinical Experiments, also from Wiley.BRUCE LEVIN, PhD, is the current Chair of the Department of Biostatistics at Columbia University. His research interests include categorical data analysis, clinical trials, sequential experimentation, statistics in law, and reproductive epidemiology.MYUNGHEE CHO PAIK, PhD, is a professor in the Department of Biostatistics at Columbia University's Mailman School of Public Health.

"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), 15th September 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)

• Preface. Preface to the Second Edition. Preface to the First Edition. 1. An Introduction to Applied Probability. 2. Statistical Inference for a Single Proportion. 3. Assessing Significance in a Fourfold Table. 4. Determining Sample Sizes Needed to Detect a Difference Between Two Proportions. 5. How to Randomize. 6. Comparative Studies: Cross-Sectional, Naturalistic, or Multinomial Sampling. 7. Comparative Studies: Prospective and Retrospective Sampling. 8. Randomized Controlled Trials. 9. The Comparison of Proportions from Several Independent Samples. 10. Combining Evidence from Fourfold Tables. 11. Logistic Regression. 12. Poisson Regression. 13. Analysis of Data from Matched Samples. 14. Regression Models for Matched Samples. 15. Analysis of Correlated Binary Data. 16. Missing Data. 17. Misclassification Errors: Effects, Control, and Adjustment. 18. The Measurement of Interrater Agreement. 19. The Standardization of Rates. Appendix A. Numerical Tables. Appendix B. The Basic Theory of Maximum Likelihood Estimation. Appendix C. Answers to Selected Problems. Author Index. Subject Index.