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Logistic Regression Models

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Joseph M. Hilbe
Publisher: Chapman & Hall/CRC
Copyright: 2009
ISBN-13: 978-1-4200-7575-5
Pages: 656; hardcover
Price: $76.75
Joseph M. Hilbe
Publisher: Chapman & Hall/CRC
Copyright: 2009
Pages: 656; eBook
Price: $0.00
Supplements:program files (LRM_ADO.ZIP)
datasets (LRM_DATA.ZIP)

Comment from the Stata technical group

Logistic Regression Models, by Joseph Hilbe, arose from Hilbe’s course in logistic regression at statistics.com. The book includes many Stata examples using both official and user-written commands and includes Stata output and graphs.

Hilbe begins with simple contingency tables and covers fitting algorithms, parameter interpretation, and diagnostics. The later chapters include models for overdispersion, complex response variables, longitudinal data, and survey data. The final chapter describes exact logistic regression, available in Stata 10 with the new exlogistic command. Hilbe does not oversimplify controversial issues, like interactions and standardized coefficients.

The prerequisite for most of the book is a working knowledge of multiple regression, but some sections use multivariate calculus and matrix algebra.

Hilbe is coauthor (with James Hardin) of the popular Stata Press book Generalized Linear Models and Extensions. He also wrote the first versions of Stata’s logistic and glm commands.

The fourth printing has been revised: examples in the book now use Stata version 11 code in place of earlier version code, where applicable.

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