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

"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 Inglés

Incluye bibliografía, indice de autor: páginas 727-736 e índice de temas: páginas 737-760