Regression Methods in Biostatistics

Linear, logistic, Survival, and Repeated Measures Models

Eric Vittinghof, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch - Collection Statistics for Biology and Health

360 pages, parution le 22/03/2005

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Résumé

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.

Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.

The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided. For many students and researchers learning to use these methods, this one book may be all they need to conduct and interpret multipredictor regression analyses.

The authors are on the faculty in the Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, and are authors or co-authors of more than 200 methodological as well as applied papers in the biological and biomedical sciences. The senior author, Charles E. McCulloch, is head of the Division and author of Generalized Linear Mixed Models (2003), Generalized, Linear, and Mixed Models (2000), and Variance Components (1992).

Written for: Students, researchers

Sommaire

Exploratory and Descriptive Methods
Basic Statistical Methods
Linear Regression
Predictor Selection
Logistic Regression
Survival Analysis
Repeated Measures Analysis
Generalized Linear Models
Complex Surveys
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Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Eric Vittinghof, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch
Collection	Statistics for Biology and Health
Parution	22/03/2005
Nb. de pages	360
Format	16 x 24
Couverture	Broché
Poids	345g
Intérieur	Noir et Blanc
EAN13	9780387202754
ISBN13	978-0-387-20275-4