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
Uses mathematical derivations and simulations to examine how measurement error changes the consequences of adjusting for covariates in observational studies.
Open-science resources
- Open access: Free full text (PMC)
- Shared code: ReliabME analysis code
- Shared code: Archived analysis code
Resource verification & source notes
- Free full text (PMC): The complete article body was retrieved from the public NCBI PMC JATS endpoint. This confirms free access; reuse permissions depend on the individual article license.
- ReliabME analysis code: The availability statement links the analysis code repository; the public GitHub tree includes R/MainCode.R.
- Archived analysis code: The article links this archived ReliabME release. Zenodo lists a downloadable versioned software archive, not a separate empirical dataset.
Publication details
Research themes
Statistical rigorNutrition & aging
Author affiliations & identifiers
- Roger S Zoh: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, 47408, USA. · ORCID 0000-0002-8066-1153
- Diana M Thomas: Department of Mathematical Sciences, West Point United States Military Academy, New York, NY, USA.
- Carmen D Tekwe: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, 47408, USA.
- Xiaoxin Yu: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, 47408, USA.
- Colby J Vorland: Department of Applied Health Science, Indiana University Bloomington, Bloomington, Indiana, 47408, USA. · ORCID 0000-0003-4225-372X
- Nikhil V Dhurandhar: Department of Nutritional Sciences, Texas Tech University, Lubbock, Texas, USA. · ORCID 0000-0002-1356-1064
- David M Klurfeld: Department of Applied Health Science, Indiana University Bloomington, Bloomington, Indiana, 47408, USA. · ORCID 0000-0001-7093-3998
- David B Allison: Department of Epidemiology and Biostatistics, Indiana University Bloomington, Bloomington, Indiana, 47408, USA.
Source notes
- CV abbreviates the ordered author list with ellipses; replace with complete authoritative list before displaying full authors.