Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Data, 2nd Edition
Author: William D. Dupont
Publisher: Cambridge University Press
Copyright: 2009
Pages:542



Supplements: datasets, log files, do-files, and other material
http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/index.html

Review of the first edition from the Stata Journal
http://www.stata.com/bookstore/pdf/smbr_review.pdf



Paperback
ISBN-10: 0-521-61480-5
ISBN-13: 978-0-521-61480-1
Copyright: 2009
Price: $59.00

Hardcover
ISBN-10: 0-521-84952-7
ISBN-13: 978-0-521-84952-4
Copyright: 2009
Price: $125.00

Comment from the Stata technical group William Dupont’s Statistical Modeling for Biomedical Researchers, Second Edition is ideal for a one-semester graduate course in biostatistics and epidemiology. Dupont assumes only a basic knowledge of statistics, such as that obtained from a standard introductory statistics course. Stata is used extensively throughout the text, making it possible to introduce computationally complex methods with little or no higher-level mathematics. As a result, Dupont focuses on concepts and model assumptions, rather than on the underlying mathematics. The text covers linear regression, logistic regression, Poisson regression, survival analysis, and analysis of variance. Two chapters are devoted to each topic: an introductory chapter that uses simple data to develop the concept and a more advanced chapter devoted to explaining more complex models, case studies, diagnostic measures, etc.
Dupont pays equal attention to the methods and to using Stata to apply them. When Stata output is displayed, the most important elements of the output are highlighted and explained in notes that follow the output. These notes help the reader make sense of the output by providing the appropriate focus for the problem at hand. The notes also include instructions for reproducing the analysis via Stata’s point-and-click user interface. The text, replete with examples featuring real medical data, uses Stata graphics extensively, providing ample explanation and detail for reproduction.