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Obesity Epidemiology$
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Frank Hu

Print publication date: 2008

Print ISBN-13: 9780195312911

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195312911.001.0001

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Interpreting Epidemiologic Evidence and Causal Inference in Obesity Research

Interpreting Epidemiologic Evidence and Causal Inference in Obesity Research

Chapter:
(p.38) 4 Interpreting Epidemiologic Evidence and Causal Inference in Obesity Research
Source:
Obesity Epidemiology
Author(s):

Frank B. Hu

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195312911.003.0004

This chapter discusses key conceptual issues related to interpretation of epidemiologic evidence and inferences of causation in obesity research. It begins by discussing the role of randomized controlled trials (RCTs). It then addresses several methodological issues in establishing causality, such as confounding, reverse causation, measurement errors, mediation and effect modification, validity versus generalizability, and the calculation and interpretation of population attributable risk (PAR). Finally, the chapter reviews commonly used criteria of causality in obesity epidemiology.

Keywords:   randomized controlled trials, causality, obesity epidemiology, obesity studies, RCTs, population attributable risk, PAR

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