Logistic Regression Using the Sas System Theory & Application: Theory and Application

Allison, Paul D.

ISBN 10: 1580253520 / ISBN 13: 9781580253529

Published by Sas Inst, 1991

About this Item

Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.

Seller Inventory # 3IIT5G005NGX_ns

Bibliographic Details

• Title: Logistic Regression Using the Sas System Theory & Application: Theory and Application
• Publisher: Sas Inst
• Publication Date: 1991
• Language: English
• ISBN 10: 1580253520
• ISBN 13: 9781580253529
• Binding: paperback
• Condition: Acceptable

About this title

Synopsis

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, this book 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 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.

Supports releases 6.12 and higher of SAS software.

About the Author

Paul D. Allison

Paul D. Allison is a Professor of Sociology and Epidemiology at the

University of Pennsylvaniawhere he teaches graduate courses in survival

analysis and categorical data analysis. Every summer he teaches a

five-day workshop about logistic regression that is attended by researchers

from around the United States and Canada. Besides his numerous statistical

papers, he has also published extensively on the subject of scientists'

careers.