Logistic Regression Using the SAS System : Theory and Application
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Logistic Regression Using the SAS System : Theory and Application Overview
If you are a researcher or student with experience inmultiple linear regression and want to learn about logisticregression, this book is for you! Informal and nontechnical, thisbook both explains the theory behind logistic regression and looks atall the practical details involved in its implementation using the SASSystem. Several social science real-world examples are included infull detail. This book also explains the differences and similaritiesamong the many generalizations of the logistic regression model. Thefollowing topics are covered: binary logit analysis, logit analysisof contingency tables, multinomial logit analysis, ordered logitanalysis, discrete-choice analysis with the PHREG procedure, andPoisson regression. Other highlights include discussions on how touse the GENMOD procedure to do loglinear analysis and GEE estimationfor longitudinal binary data. Only basic knowledge of the SAS DATAstep is assumed.
Supports releases 6.12 and higher of SAS software.
Logistic Regression Using the SAS System : Theory and Application Specifications
If you are a researcher or student with experience inmultiple linear regression and want to learn about logisticregression, this book is for you! Informal and nontechnical, thisbook both explains the theory behind logistic regression and looks atall the practical details involved in its implementation using the SASSystem. Several social science real-world examples are included infull detail. This book also explains the differences and similaritiesamong the many generalizations of the logistic regression model. Thefollowing topics are covered: binary logit analysis, logit analysisof contingency tables, multinomial logit analysis, ordered logitanalysis, discrete-choice analysis with the PHREG procedure, andPoisson regression. Other highlights include discussions on how touse the GENMOD procedure to do loglinear analysis and GEE estimationfor longitudinal binary data. Only basic knowledge of the SAS DATAstep is assumed.
Supports releases 6.12 and higher of SAS software.
