Introduction

This book accompanies EHS 655: Human Exposure Analysis, taught by Dr. Rick Neitzel at the University of Michigan School of Public Health. Students taking this course learn how to conduct statistical analyses of human exposures, and apply these skills to an actual dataset containing exposure, biomarker, and health outcome data. They also develop skills for understanding, interpreting, and communicating exposure information and for identifying and communicating evidence-based risk management recommendations. This course will be relevant to second-year MS, MPH, and PhD students in EHS, with a specific relevance for industrial hygiene students.

This book will demonstrate common data analysis techniques in R for human exposure analysis, beginning with simple descriptive analyses and continuing through more complex regression-based approaches. The in-person lecture content familiarizes students with the different approaches, and readings provide examples of the application of these approaches and embedded throughout this book as well. This book provides students with a guide to explore and apply these analytical techniques in R.