Regression methods in biostatistics : linear, logistic, survival, and repeated measures models

著者

書誌事項

Regression methods in biostatistics : linear, logistic, survival, and repeated measures models

Eric Vittinghoff, Stephen C.Shiboski, David V.Glidden, Charles E.McCulloch

(Statistics for biology and health)

Springer, c2005

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注記

Includes bibliographical references (p. 323-331) and index

内容説明・目次

内容説明

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.

目次

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.

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