Adjusting for covariates representing potential confounders, mediators, or competing predictors in the presence of measurement error: Dispelling a potential misapprehension and insights for optimal study design with nutritional epidemiology examples [version 2; peer review: 2 approved]

Background Variables such as dietary intake are measured with error yet frequently used in observational epidemiology. Although this limitation is sometimes noted, these variables are still often modeled as covariates without formal correction or sincere dialogue about measurement unreliability pote...

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Bibliographic Details
Main Authors: David M. Klurfeld, Nikhil V. Dhurandhar, Xiaoxin Yu, David B. Allison, Carmen D. Tekwe, Diana M. Thomas, Roger S. Zoh, Colby J. Vorland
Format: Article
Language:English
Published: F1000 Research Ltd 2025-05-01
Series:F1000Research
Subjects:
Online Access:https://f1000research.com/articles/13-827/v2
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