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Journal of the National Cancer Institute Advance Access originally published online on November 25, 2008
JNCI Journal of the National Cancer Institute 2008 100(23):1658-1659; doi:10.1093/jnci/djn408
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© The Author 2008. Published by Oxford University Press.

EDITORIALS

Impact of Exposure Measurement Error in Nutritional Epidemiology

Victor Kipnis, Laurence S. Freedman

Affiliations of authors: Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD (VK); Gertner Institute for Epidemiology and Health Policy Research, Tel Hashomer, Israel (LSF)

Correspondence to: Victor Kipnis, PhD, Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, 6130 Executive Blvd, Suite 3131, Bethesda, MD 20892-7354 (e-mail: kipnisv@mail.nih.gov).

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For the past several decades, observational studies of diet and cancer have yielded many inconsistent results (1). Given the limited variation in dietary intakes within many study populations and the seemingly modest diet–cancer associations, results of such studies depend critically on an accurate assessment of the dietary exposure (2). Measurement error in exposure leads to seriously biased relative risks of cancer for dietary intakes and substantially reduces the statistical power to detect existing relationships (2). The international consortium of cohort studies known as the Pooling Project (3) aims to gain precision in relative risk estimates and overcome this loss of statistical power by combining analyses of individual data from multiple studies that examine associations between diet and cancer. In this issue of the Journal, Lee et al. (4) report the results of an analysis of . . . [Full Text of this Article]


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