Summary and Info
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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Applied Logistic Regression (Wiley Series in Probability and Mathematical Statistics. Applied Probability and Statistics Section) 0 out of 5 stars based on 0 ratings.