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Article Recommendations for 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

The following articles have been recommended by Semantic Scholar's Paper Recommendations API as related content to 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 by
  1. Roger S. Zoh
  2. Diana M. Thomas
  3. Carmen D. Tekwe
  4. Xiaoxin Yu
  5. Colby J. Vorland
  6. Nikhil V. Dhurandhar
  7. David M. Klurfeld
  8. David B. Allison

Related articles are currently not available for this article.

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