Regression With Social Data (eBook)

ALFRED DEMARIS, PHD, is Professor of Sociology at Bowling Green State University, Ohio. In addition to consulting on a regular basis, Dr. DeMaris has published well over fifty research papers and is a member of several local university and community boards.

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.

"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)