Statistical Modeling for Biomedical Researchers
A Simple Introduction to the Analysis of Complex Data

A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods.

William D. Dupont (Author)

9780521614801, Cambridge University Press

Paperback, published 12 February 2009

544 pages, 71 b/w illus. 48 tables
24.8 x 17.4 x 2.6 cm, 1.06 kg

'…the second edition of this book is an excellent training and reference tool for young (as well as experienced) epidemiologic and biomedical researchers. It provides a comprehensive overview of traditional and novel approaches to model and interpret complex clinical, epidemiologic, and biomedical databases.' Stanley P. Azen, University of Southern California

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available at http://biostat.mc.vanderbilt.edu/dupontwd/wddtext/.

Preface
1. Introduction
2. Simple linear regression
3. Multiple linear regression
4. Simple logistic regression
5. Multiple logistic regression
6. Introduction to survival analysis
7. Hazard regression analysis
8. Introduction to Poisson regression
9. Multiple Poisson regression
10. Fixed effects analysis of variance
11. Repeated-measures analysis of variance
Appendix A. Summary of statistical models discussed in this text
Appendix B. Summary of Stata commands used in this text
References.

Subject Areas: Epidemiology & medical statistics [MBNS]