Applied Logistic Regression
Published on 31. July 1989
Book
Hardback
XVI, 324 pages
978-0-471-61553-8 (ISBN)
Description
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.
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Other editions
New editions
David W. Hosmer | Stanley Lemeshow
Applied Logistic Regression
Book
09/2000
2nd Edition
Wiley
€135.00
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Content
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.