Modern Statistical Methods in Chronic Disease Epidemiology

A tremendous amount of activity surrounding statistical methodology in chronic disease epidemiology has taken place since Mantel and Haenszel's pioneering paper in 1959. Areas of increased interest have centered around environmental and genetic risk assessment and risk extrapolation. The eleventh Research Application Conference held under the direction of SIMS brought together leading experts to discuss the theory and applications of statistical methods in chronic disease epidemiology. This book represents the proceedings of that conference. Focusing on relative risk regression, the book, as a result, includes chapters dealing with a range of issues, such as matching and covariate adjustment, choice of primary time variate and evolutionary covariates, design and analysis of prevention trials, problems involving auxiliary and incomplete covariate data, confidence region and model criticism, absolute and relative risk methods, methods in genetic epidemiology, models for carcinogenesis and cancer progression, and multivariate failure time methods.