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Applications of Regression Models in Epidemiology


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Authors:
Erick Suarez, Cynthia M. Perez, Roberto Rivera, and Melissa N. Martinez
Publisher: Wiley
Copyright: 2017
ISBN-13: 978-1-119-21248-5
Pages: 250; hardcover
Price: $98.75
Authors:
Erick Suarez, Cynthia M. Perez, Roberto Rivera, and Melissa N. Martinez
Publisher: Wiley
Copyright: 2017
ISBN-13:
Pages: 250; eBook
Price: $0.00
Authors:
Erick Suarez, Cynthia M. Perez, Roberto Rivera, and Melissa N. Martinez
Publisher: Wiley
Copyright: 2017
ISBN-13:
Pages: 250; Kindle
Price: $

Comment from the Stata technical group

Applications of Regression Models in Epidemiology, by Suárez et al., analyzes the main statistical tools to analyze data from epidemiologic designs, with emphasis in the analytical foundations.

The book covers, among other topics, linear, logistic, and Poisson regression, generalized linear models, and hypothesis testing and shows examples where these techniques are applied using Stata.

This text is suitable for a graduate level course in epidemiology or biostatistics; each chapter contains an applied exercise where the reader can implement the tools just covered on a practical problem and bibliographical references for those interested in exploring the topics more in depth. The last chapter implements the solutions to all the exercises in the book using Stata, as well as using other packages.

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