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Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models by David V. Glidden, Charles E. McCulloch, Eric Vittinghoff, Stephen C. Shiboski (Hardcover, 2007)
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Product Description : Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health) 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 rightcensored 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 ( it is an used product)
