Applied logistic regression
- David W. Hosmer, Jr., Stanley Lemeshow.
- New York : Wiley, c1989.
- Physical description
- xiii, 307 p. : ill. ; 24 cm.
- Wiley series in probability and mathematical statistics. Applied probability and statistics
Find it Velma Denning Room (Social Science Data and Software)
|QA278.2 .H67 1989||In-library use|
- Bibliography: p. 291-300.
- The multiple logistic regression model-- interpretation of the coefficients of the logistic regression model-- model building strategies and methods for logistic regression-- assessing of the fit of the model-- application of logistic regression with different sampling models-- logistic regression for matched case-control studies-- special topics.
- (source: Nielsen Book Data)
- Publisher's Summary
- This book discusses how to model a binary outcome variable from a linear regression analysis point of view. It develops the logistic regression model and describes its use in methods for modelling the relationship between a dichotomous outcome variable and a set of covariates. Discussion of the interpretation of this model follows. The text includes several data sets which are the source of the examples and exercises. The book also uses a number of software packages, including BMDP, EGRET, GLIM, SAS, and SYSTAT, to analyze data sets.
(source: Nielsen Book Data)
- Regression analysis.
- Publication date
- "A Wiley-Interscience publication."
- Includes index.
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