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Logistic regression using the SAS system : theory and application / Paul D. Allison.
- Format:
- Book
- Author/Creator:
- Allison, Paul David, author.
- Language:
- English
- Subjects (All):
- SAS (Computer file).
- Regression analysis--Data processing.
- Regression analysis.
- Physical Description:
- 1 online resource (302 pages)
- Edition:
- 1st edition
- Other Title:
- Logistic regression
- Place of Publication:
- [Place of publication not identified] SAS Institute 1999.
- Language Note:
- English
- System Details:
- text file
- Summary:
- 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.
- Contents:
- Introduction
- Binary Logit Analysis: Basics
- Binary Logit Analysis: Details and Options
- Logit Ananlysis of Contingency Tables
- Multinomial Logit Analysis
- Logit Analysis for Ordered Categories
- Discrete Choice Analysis
- Logit Analysis of Longitudinal and Other Clustered Data
- Poisson Regression
- Loglinear Analysis of Contingency Tables.
- Notes:
- Bibliographic Level Mode of Issuance: Monograph
- Includes bibliographical references and index.
- ISBN:
- 9781590475331
- 159047533X
- OCLC:
- 137284108
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