William D. Dupont

Statistical Modeling for Biomedical Researchers (eBook, PDF)

A Simple Introduction to the Analysis of Complex Data

• Format: PDF

Produktbeschreibung

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/.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 12. Februar 2009
• Englisch
• ISBN-13: 9780511474484
• Artikelnr.: 38191561

Autorenporträt

Wiliam D. Dupont is Professor of Biostatistics and Preventive Medicine at the Vanderbilt University School of Medicine, Nashville, Tennessee.

Inhaltsangabe

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.