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Regression Methods in Biostatistics
Linear, Logistic, Survival, and Repeated Measures Models
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Main description:

Here is a unified, readable introduction to multipredictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes. The authors describe shared elements in methods for selecting, estimating, checking, and interpreting each model, and show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.


Contents:

Introduction.- Exploratory and Descriptive Methods.- Basic Statistical Methods.- Linear Regression.- Predictor Selection.- Logistic Regression.- Survival Analysis.- Repeated Measures Analysis.- Generalized Linear Models.- Complex Surveys.- Summary.


PRODUCT DETAILS

ISBN-13: 9780387202754
Publisher: Springer (Springer-Verlag New York Inc.)
Publication date: July, 2007
Pages: 360
Dimensions: 156.00 x 234.00 x 20.00
Weight: 680g
Availability: Contact supplier
Subcategories: Epidemiology

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