# Logistic Regression Using SAS: Theory and Application, Second Edition

SAS Institute, Mar 30, 2012 - Mathematics - 348 pages
If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Paul Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the theory behind logistic regression, and looks at all the practical details involved in its implementation using SAS. Several real-world examples are included in full detail. This book also explains the differences and similarities among the many generalizations of the logistic regression model. The following topics are covered: binary logistic regression, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis, and Poisson regression. Other highlights include discussions on how to use the GENMOD procedure to do loglinear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed. The second edition describes many new features of PROC LOGISTIC, including conditional logistic regression, exact logistic regression, generalized logit models, ROC curves, the ODDSRATIO statement (for analyzing interactions), and the EFFECTPLOT statement (for graphing nonlinear effects). Also new is coverage of PROC SURVEYLOGISTIC (for complex samples), PROC GLIMMIX (for generalized linear mixed models), PROC QLIM (for selection models and heterogeneous logit models), and PROC MDC (for advanced discrete choice models). This book is part of the SAS Press program.

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Very god book.

### Contents

 Basics 7 Details and Options 39 Chapter 4 Logit Analysis of Contingency Tables 109 Chapter 5 Multinomial Logit Analysis 139 Chapter 6 Logistic Regression for Ordered Categories 159 Chapter 7 Discrete Choice Analysis 189
 Chapter 8 Logit Analysis of Longitudinal and Other Clustered Data 217 Chapter 9 Regression for Count Data 265 Chapter 10 Loglinear Analysis of Contingency Tables 291 References 325 Index 331 Copyright