Practical Epidemiology With Generalized Linear Models eBook

This book was developed with the goal of helping health researchers and biostatisticians with the use of generalized linear models applied to epidemiology. It's focused on common epidemiological measures such as risk, incidence rate, relative risk, risk difference, incidence rate ratio, and odds ratio. The book will cover person-time analysis and use the Binomial, Poisson, and Negative Binomial distributions. Implications of the use of the Poisson distribution to epidemiological data will be discussed, as well as the Poisson robust estimation. Generalized Estimating Equations will be shown for longitudinal clinical studies with time-correlated data. It focuses on practical thought, although the fundamental theoretical principles have been covered.