Applied Logistic Regression

Forsideomslag
Wiley, 31. jul. 1989 - 328 sider
Shows how to model a binary outcome variable from a linear regression analysis point of view. Develops the logistic regression model and describes its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariates. Following establishment of the model there is discussion of its interpretation. Several data sets are the source of the examples and the exercises, and a number of software packages are used to analyze data sets, including BMDP, EGRET, GLIM, SAS, and SYSTAT.

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Indhold

Introduction to the Logistic Regression Model
1
Assessment of Fit and Diagnostics for Polytomous
8
Exercises
58
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