Poisson, negative binomial, and other regression models for event-co
Trade Review
"This book is intended to serve as a text for intermediate-level social science graduate courses on regression and as a reference book for practicing researchers. I recommend it for both purposes." (Sociological Methods & Research, 2009) "I would have left 'social data' out of the title of this excellent book.... The book has value for any statistician for its inclusion of all possible types of response measurement in a single regression textbook." (Technometrics, August 2005)
"Regression with Social Data includes features desirable of a textbook for classroom use (e.g., datasets, 275 end-of-chapter exercises with partial solutions) but also has the depth and sophistication of a reference book. As a reference book, it is useful to anyone in statistical consulting or social science research." (The American Statistician, May 2006)
Table of Contents
Preface. 1. Introduction to Regression Modeling.
2. Simple Linear Regression.
3. Introduction to Multiple Regression.
4. Multiple Regression with Categorical Predictors: ANOVA and ANCOVA Models.
5. Modeling Nonlinearity.
6. Advanced Issues in Multiple Regression.
7. Regression with a Binary Response.
8. Advanced Topics in Logistic Regression.
9. Truncated and Censored Regression Models.
10. Regression Models for an Event Count.
11. Introduction to Survival Analysis.
12. Multistate, Multiepisode, and Interval-Censored Models in Survival Analysis.
Appendix A: Mathematics Tutorials.
Appendix B: Answers to Selected Exercises.
References.
Index.
