Logistic Regression Using the SAS System: Theory and ApplicationISBN: 978-0-471-22175-3
Paperback
308 pages
December 2001
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Acknowledgments.
Chapter 1. Introduction.
Chapter 2. Binary Logit Analysis: Basics.
Chapter 3. Binary Logit Analysis: Details and Options.
Chapter 4. Logit Analysis of Contingency Tables.
Chapter 5. Multinomial Logit Analysis.
Chapter 6. Logit Analysis for Ordered Categories.
Chapter 7. Discrete Choice Analysis.
Chapter 8. Logit Analysis of Longitudinal and Other Clustered Data.
Chapter 9. Poisson Regression.
Chapter 10. Loglinear Analysis of Contigency Tables.
Appendix.
References.
Index.
Chapter 1. Introduction.
Chapter 2. Binary Logit Analysis: Basics.
Chapter 3. Binary Logit Analysis: Details and Options.
Chapter 4. Logit Analysis of Contingency Tables.
Chapter 5. Multinomial Logit Analysis.
Chapter 6. Logit Analysis for Ordered Categories.
Chapter 7. Discrete Choice Analysis.
Chapter 8. Logit Analysis of Longitudinal and Other Clustered Data.
Chapter 9. Poisson Regression.
Chapter 10. Loglinear Analysis of Contigency Tables.
Appendix.
References.
Index.