Applied logistic regression
著者
書誌事項
Applied logistic regression
(Wiley series in probability and mathematical statistics, . Applied probability and statistics)
Wiley, c1989
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注記
Bibliography: p. 291-300
Includes index
"A Wiley-Interscience publication."
内容説明・目次
内容説明
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.
目次
- 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.
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