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Logistic Regression Models

by Joseph M. Hilbe

Logistic regression analysisData processingRegression analysisSocial sciences, statistical methods

Logistic Regression Models presents an overview of the full range of logistic based models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental, physical, and social science data. At 656 pages in length, the text is the most comprehensive resource on logistic-based models available. Examples are given using both Stata and R code. A 187 page Solutions Manual is freely available for qualified instructors.

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Book data: Open Library