Regression Methods in Biostatistics
Publication year: 2005
ISBN: 978-0-387-27255-9
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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.
Subject: Mathematics and Statistics, Generalized linear model, Logistic Regression, Regression analysis, Stata, Survival analysis, Variance, applied regression methods for biomedical research, confounding, mediation, and interaction, data analysis, linear regression, linear, logistic, generalized linear, survival (Cox), GEE, a, model selection and checking, statistical computing with STATA, statistics
