Logistic Regression Using SAS: Theory and Application, by Paul D. Allison

By Paul D. Allison

while you're a researcher or scholar with event in a number of linear regression and need to benefit approximately logistic regression, Paul Allison's Logistic Regression utilizing SAS: conception and alertness, moment variation, is for you! casual and nontechnical, this ebook either explains the idea at the back of logistic regression, and appears in any respect the sensible information keen on its implementation utilizing SAS. a number of real-world examples are incorporated in complete aspect. This publication additionally explains the variations and similarities one of the generalizations of the logistic regression version. the next themes are lined: binary logistic regression, logit research of contingency tables, multinomial logit research, ordered logit research, discrete-choice research, and Poisson regression. different highlights contain discussions on tips on how to use the GENMOD process to do loglinear research and GEE estimation for longitudinal binary facts. merely easy wisdom of the SAS facts step is believed. the second one variation describes many new positive factors of PROC LOGISTIC, together with conditional logistic regression, specific logistic regression, generalized logit versions, ROC curves, the ODDSRATIO assertion (for interpreting interactions), and the EFFECTPLOT assertion (for graphing nonlinear effects). additionally new is assurance of PROC SURVEYLOGISTIC (for complicated samples), PROC GLIMMIX (for generalized linear combined models), PROC QLIM (for choice types and heterogeneous logit models), and PROC MDC (for complicated discrete selection models).

This ebook is a part of the SAS Press program.

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