Applied Logistic Regression (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)

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.
Author: Lemeshow, Stanley

Publisher: Wiley-Interscience

Binding: Hardcover

Language: English

ISBN-10: 0471615536

ISBN-13: 9780471615538