R Companion to Epidemiology: Study Design and Data Analysis

R Companion to Epidemiology: Study Design and Data Analysis is a companion volume to the classic textbook by Mark Woodward, Epidemiology: Study Design and Data Analysis, Third Edition. It aims to equip the reader with sufficient knowledge to use R for practising epidemiology. Towards this aim, it reworks the examples in the textbook, presenting the code followed by an explanation and its result.

Features:

• Almost all of the numerical examples in the textbook are reworked in R
• R code is introduced in small portions and explained thoroughly
• Complexity of introduced code is increased only gradually
• More than 300 commands spanning more than 40 libraries are introduced

The book is intended primarily to be used as a supplement to the textbook by undergraduate and graduate students in the fields of epidemiology and statistics. It will also serve practitioners and researchers in epidemiology, who want to learn R for use in their work.

CONTENTS

1. Fundamental issues
2. Basic analytical procedures
3. Assessing risk factors
4. Confounding and interaction
5. Cohort studies
6. Case-control studies
7. Intervention studies
8. Sample size determination
9. Modelling quantitative outcome variables
10. Modelling binary outcome data
11. Modelling follow-up data
12. Meta-analysis
13. Risk scores and clinical decision rules
14. Computer-intensive methods