Introduction to Regression Methods for Public Health Using R
Author:   Ramzi W. Nahhas (Wright State University)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032203072


Pages:   442
Publication Date:   19 December 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Introduction to Regression Methods for Public Health Using R


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Full Product Details

Author:   Ramzi W. Nahhas (Wright State University)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   1.000kg
ISBN:  

9781032203072


ISBN 10:   1032203072
Pages:   442
Publication Date:   19 December 2024
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table 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

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Author Information

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.

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