Hilbe J.M. Logistic Regression Models

Boca Raton: CRC Press, 2009. — 637 p.This text presents an overview of the full range of logistic models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental/ecological, physical, and social science data. Stata is used to develop, evaluate, and display most models while R code is given at the end of most chapters. The author examines the theoretical foundation of the models and describes how each type of model is established, interpreted, and evaluated as to its goodness of fit. Example data sets are available online in various formats and a solutions manual is available for qualifying instructors.Concepts related to the logistic model
Estimation methods
Derivation of the binary logistic algorithm
Model development
Interactions
Analysis of model fit
Binomial logistic regression
Overdispersion
Ordered logistic regression
Multinomial logistic regression
Alternative categorical response models
Panel models
Other types of logistic-based models
Exact logistic regression.