Practical Guide to Logistic Regression

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.

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