A one-stop guide for public health students and practitioners learning regression analysis and statistical methods
This book is written for public health professionals and students interested in applying regression models in the field of public health. The academic material is usually covered in the following courses: (i) Applied Regression Analysis, (ii) Advanced Epidemiology, and (iii) Statistical Computing for Applying Statistical Modeling. The book is composed of 13 chapters including an introduction chapter that covers basic concepts of statistics and probability. Among the topics covered are: linear regression model, polynomial regression model, weighted linear regression, methods for selecting the best regression equation, logistic regression model, and Poisson regression model. An example is provided in each chapter that applies the theoretical aspects presented in that chapter. In addition, exercises are included and the final chapter is devoted to the solutions of these academic exercises with answers in all of the major statistical software packages including STATA, SAS, SPSS, and R. It is assumed that readers of this book have a basic course in biostatistics, epidemiology, and introductory calculus. The book will be of interest to anyone looking to understand the statistical fundamentals to support quantitative research in public health.
In addition, this book:
- Is based on the authors’ course notes from 20 years teaching regression modeling in public health courses
- Provides exercises at the end of each chapter
- Contains a solutions’ chapter with answers in STATA, SAS, SPSS, and R
- Provides real-world public-health applications of the theoretical aspects contained in the chapters
Applications of Regression Models in Public Health is a reference for graduate students in public health and public health practitioners.
Erick Suárez is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. He received a Ph.D. degree in Medical Statistics from the London School of Hygiene and Tropical Medicine. He has 29 years of experience teaching biostatistics.
Cynthia M. Pérez is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. She received an M.S. degree in Statistics and a Ph.D. degree in Epidemiology from Purdue University. She has 22 years of experience teaching epidemiology and biostatistics.
Roberto Rivera is an Associate Professor at the College of Business at the University of Puerto Rico at Mayaguez. He received a Ph.D. degree in Statistics from the University of California in Santa Barbara. He has more than 5 years of experience teaching statistics courses at the undergraduate and graduate levels.
