Introduction to Regression Methods for Public Health Using R

Auteur

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.

Texte du rabat

This book teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool. Regression is a useful tool for understanding the associations between an outcome and a set of explanatory variables, and regression methods are commonly used in many fields.

Contenu

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