Practical Guide to Logistic Regression

af Joseph M. Hilbe

This book covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another. Complete Stata, SAS, and R codes are available in the text and on the author¿s website, enabling analysts to adapt the code as needed.