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Logistic Regression Using SAS®: Theory and Application, Second Edition
By Paul D. Allison
Anticipated publication date: First quarter 2012
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 social science 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 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. New for this edition is coverage of new features of the PHREG, LIFEREG, LIFETEST, LOGISTIC, and SURVEYLOGISTIC procedures as well as coverage of the new PROC GLIMMIX.
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