1st Edition
Introduction to Regression Methods for Public Health Using R
Preface
1. Introduction
2. Overview of Regression Methods
3. Data Summarization
4. Simple Linear Regression
5. Multiple Linear Regression
6. Binary Logistic Regression
7. Survival Analysis
8. Analyzing Complex Survey Data
9. Multiple Imputation of Missing Data
Appendix A. Datasets
Bibliography
Index
Biography
Ramzi W. Nahhas teaches biostatistics at Wright State University, Dayton, Ohio, USA, where he is Professor in the Department of Population and Public Health Sciences, Boonshoft School of Medicine. In addition to teaching, he is actively involved in research collaborations with faculty, residents, and students, primarily in his own department and the Department of Psychiatry.
"Dr. Ramzi W. Nahhas’s book, Introduction to Regression Methods for Public Health Using R, is a timely and wellstructured resource aimed at public health students, researchers, and practitionerswho want to understand and apply regression techniques. Targeted at readers with limited formal statistical training, it also serves as a valuable refresher for more experienced users. [...] One of the book’s greatest strengths is its clear and logical structure, which makes it very accessible for beginners. [...] In conclusion, [the book] is a highly practical resource that fills a gap in applied public health education. Its structure, clarity, and real-world focus make it ideal for students, early career researchers, and practitioners using R for regression. Its consistent structure and practical guidance make it a valuable reference."
-Rachel Heyard in The American Statistician, March 2026
