Logistic Regression Using SAS

Theory and Application

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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.

Editions

2 (2012)

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