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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.

Applied Logistic Regression 2013, Wiley-Blackwell, Hoboken

ISBN-13: 9780470582473

3rd Revised edition

Hardcover

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Applied Logistic Regression 2000, John Wiley & Sons, New York, NY

ISBN-13: 9780471356325

2nd edition

Hardcover

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Applied Logistic Regression 1989, Wiley-Interscience, New York, NY

ISBN-13: 9780471615538

Hardcover

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