Logistic Regression Using SAS
Theory and Application
Author: Paul D. Allison
Publisher: SAS Institute
A non-technical introduction to logistic regression in SAS/STAT. Covers LOGISTIC, SURVEYLOGISTIC, GLIMMIX, QLIM, and MDC procedures.
2 Paperback/E-book
Year: 2012
ISBN (paperback): 978-1-59994-641-2
ISBN (Epub): 978-1-60764-995-3
ISBN (Kindle): 978-1-61290-950-9
ISBN (PDF): 978-1-62959-018-9
Pages (paperback/PDF): 348
Publisher’s list price (paperback): 53.95
Contents
- 1. Introduction
- 2. Binary Logistic Regression with PROC LOGISTIC: Basics
- 3. Binary Logistic Regression: Details and Options
- 4. Logit Analysis of Contingency Tables
- 5. Multinomial Logit Analysis
- 6. Logistic Regression for Ordered Categories
- 7. Discrete Choice Analysis
- 8. Logit Analysis of Longitudinal and Other Clustered Data
- 9. Regression for Count Data
- 10. Loglinear Analysis of Contingency Tables
- References
- Index