Statistical Modeling for Biomedical Researchers

William D. Dupont

404 pages, parution le 16/12/2002

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Résumé

This text will enable biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research. It is intended for people who have had an introductory course in biostatistics. A statistical software package (Stata) is used to avoid mathematics beyond the high school level. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood by clinical colleagues. Numerous real examples from the medical literature are used to illustrate these techniques. Graphical methods are used extensively. Topics covered include linear regression, logistic regression, Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measures analysis of variance. Each method is introduced in its simplest form and is then extended to cover situations in which multiple explanatory variables are collected on each study subject.

Contents

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 variation
11. Repeated-measures analysis of variation
Index.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	William D. Dupont
Parution	16/12/2002
Nb. de pages	404
Format	17,5 x 24,5
Couverture	Broché
Poids	860g
Intérieur	Noir et Blanc
EAN13	9780521655781
ISBN13	978-0-521-65578-1