Logistic Regression Using the SAS System: Theory and Application
by Paul D. Allison
If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Logistic Regression Using the SAS System: Theory and Application 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 the SAS System. Several social science real-world examples are included in full detail. This book also explains the differences and similarities between the many generalizations of the logistic regression model. The following topics are covered: binary logit analysis, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis with the PHREG procedure, 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.
Also Recommended: Logistic Regression Examples Using the SAS System, Version 6, First Edition; Applied Multivariate Statistics with SAS Software, Second Edition; Applied Statistics and the SAS Programming Language, Fourth Edition; Categorical Data Analysis Using the SAS System; SAS System for Mixed Models; SAS System for Regression, Second Edition; A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling; A Step-by-Step Approach to Using the SAS System for Univariate and Multivariate Statistics; Survival Analysis Using the SAS System: A Practical Guide; SAS/STAT User's Guide, Version 6, Fourth Edition, Volumes 1 and 2;
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