This book helps public health practitioners and students gain expertise in applications of regression modeling in order to solve problems when data are collected in epidemiological studies. It covers linear regression models, polynomial regression models, weighted linear regression models, methods for selecting the best regression equation, logistic regression models, and Poisson regression models. One chapter solves these examples with the STATA program. Additionally, every chapter has exercise sets for practicing concepts and exercise solutions for self or group study.
Erick Suarez, Ph.D, is a professor of biostatistics at the School of Public Health of the University of Puerto Rico.
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