Introduction to Regression Methods for Public Health Using R

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.

List of contents

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

About the author

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.

Summary

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.

Product details

• Authors: Ramzi W. Nahhas, Ramzi W. (Wright State University) Nahhas
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 19.12.2024
• EAN: 9781032203072
• ISBN: 978-1-0-3220307-2
• No. of pages: 442
• Subjects: Humanities, art, music > Psychology > Theoretical psychology; Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Non-fiction book > Psychology, esoterics, spirituality, anthroposophy > Psychology: general, reference works; Epidemiology & medical statistics, MATHEMATICS / Probability & Statistics / General, SCIENCE / Life Sciences / Biology, COMPUTERS / Mathematical & Statistical Software, MEDICAL / Biostatistics, PSYCHOLOGY / Research & Methodology, MEDICAL / Epidemiology, Biology, life sciences, Psychological methodology, Probability & statistics, Mathematical & statistical software, Probability and statistics, Epidemiology and Medical statistics, Mathematical and statistical software