Joseph L. Fleiss & Bruce Levin 
Statistical Methods for Rates and Proportions 

* 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.

表中的内容

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.

关于作者

JOSEPH L. FLEISS, Ph D, 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, Ph D, 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, Ph D, is a professor in the Department of Biostatistics at Columbia University’s Mailman School of Public Health.