Noel S. Weiss

Exercises in Epidemiology (eBook, ePUB)

Applying Principles and Methods

• Format: ePub

Produktbeschreibung

Traditional epidemiology coursework is centered on the design and analysis of disease control. This important knowledge forms the backbone of what epidemiology is, but it can sometimes become a rote exercise in calculations rather than what it can and should be--training in thinking like an epidemiologist. EXERCISES IN EPIDEMIOLOGY enriches the core epidemiology coursework with a set of living, breathing problems from the real-world epidemiology literature. Comprising nearly 200 questions and answers drawn from published studies, this one-of-a-kind text allows students in epidemiology and public health to cultivate their skills in a real-world context while familiarizing themselves with core epidemiologic principles: rates and proportions, causal inference, and confounding. Answers to every question, along with each step in the reasoning that supports them, are included so that students can compare notes with a senior epidemiologist. With its practical, analytically sophisticated approach to this vital subject matter, EXERCISES IN EPIDEMIOLOGY prepares readers to make the transition from student to professional like no other text.

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Produktdetails

• Verlag: Oxford University Press
• Seitenzahl: 368
• Erscheinungstermin: 12. Oktober 2016
• Englisch
• ISBN-13: 9780190651534
• Artikelnr.: 46628890

Autorenporträt

Noel S. Weiss, MD, DrPH, has been a faculty member at the University of Washington and at the Fred Hutchinson Cancer Research Center since 1973. His research has been in the areas of cancer epidemiology and clinical epidemiology. He has authored or co-authored more than 600 publications, including three books. At the University of Washington he has received awards for teaching and mentoring, and in 2011 was selected by the Congress of Epidemiology as the first winner of the Alfred Evans Award for teaching and mentoring.

Inhaltsangabe

Introduction
1. Rates and Proportions
2. Causal Inference
3. Confounding
4. Cohort Studies
5. Case-Control Studies
6. Multiple Causal Pathways and Effect Modification
7. Screening
References