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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models(Statistics for Biology and Health)

(Hardback)

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

Springer-Verlag New York Inc. (Publisher)

Published

2005

Reviews

4.25

4 reviews

Medicine and Nursing Medicine: general issues Public health and preventive medicine Epidemiology and Medical statistics

By: Charles E. McCulloch, Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski | Publisher: Springer-Verlag New York Inc. | Released: 04 Jan 2005

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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.