Epidemiology Matters: A New Introduction to Methodological Foundations by Katherine M. Keyes

Epidemiology Matters: A New Introduction to Methodological Foundations

byKatherine M. Keyes, Sandro Galea

Paperback | June 24, 2014

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Epidemiology Matters offers a new approach to understanding and identifying the causes of disease - and with it, how to prevent disease and improve human health. Utilizing visual explanations and examples, this text provides an accessible, step-by-step introduction to the fundamentals ofepidemiologic study, from design to analysis. Across fourteen chapters, Epidemiology Matters teaches the individual competencies that underlie the conduct of an epidemiologic study: identifying populations; measuring exposures and health indicators; taking a sample; estimating associations between exposures and health indicators; assessingevidence for causes working together; assessing internal and external validity of results. With its consequentialist approach - designing epidemiologic studies that aim to inform our understanding, and therefore improve public health - Epidemiology Matters is an introductory text for the next generation of students in medicine and public health.

About The Author

Katherine M. Keyes, PhD, is Assistant Professor of Epidemiology at Columbia University. Her research focuses on life course epidemiology with particular attention to psychiatric disorders, including cross-generational cohort effects on substance use, mental health, and chronic disease. She has particular expertise in the development an...
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Title:Epidemiology Matters: A New Introduction to Methodological FoundationsFormat:PaperbackDimensions:256 pages, 9.25 × 6.12 × 0.68 inPublished:June 24, 2014Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199331243

ISBN - 13:9780199331246

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Table of Contents

1. An introduction2. What is a population and what is population health?3. What is an exposure, what is a disease, and how do we measure them?4. What is a sample?5. Watching a sample, counting cases6. Are exposures associated with health indicators?7. What is a cause?8. Is the association causal, or are there alternative explanations?9. How do non-causal associations arise?10. How can we mitigate against non-causal associations in design and analysis?11. When do causes work together?12. Do the results matter beyond the study sample?13. How do we identify disease early to minimize its consequences?14. Conclusion: Epidemiology and what matters most