Measurement Error in Nutritional Epidemiology: A Survey

This article reviews bias-correction models for measurement error of exposure variables in the field of nutritional epidemiology. Measurement error usually attenuates estimated slope towards zero. Due to the influence of measurement error, inference of parameter estimate is conservative and confidence interval of the slope parameter is too narrow. Bias-correction in estimators and confidence intervals are of primary interest. We review the following bias-correction models: regression calibration methods, likelihood based models, missing data models, simulation based methods, nonparametric models and sampling based procedures.

• Publication year

  2020

• Venue

  arXiv.org

• Publication date

  2020-04-14

• Fields of study

  Medicine, Mathematics, Computer Science

• Identifiers
  arXiv 2004.06448
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Measurement Errors in Epidemiology

  2012cited by this paper
• Bayesian hierarchical models for food frequency assessment

  2010influential reference
• Semiparametric Bayesian Analysis of Nutritional Epidemiology Data in the Presence of Measurement Error

  2010cited by this paper
• Biomarkers in nutritional epidemiology: applications, needs and new horizons

  2009cited by this paper
• Measurement error correction for nutritional exposures with correlated measurement error: Use of the method of triads in a longitudinal setting

  2008cited by this paper
• Multiple-imputation for measurement-error correction.

  2006cited by this paper
• Correction of logistic regression relative risk estimates and confidence intervals for systematic within-person measurement error.

  2006cited by this paper
• Nonparametric methods for solving the Berkson errors‐in‐variables problem

  2006cited by this paper
• The effect of correlated measurement error in multivariate models of diet.

  2004influential reference
• Structure of dietary measurement error: results of the OPEN biomarker study.

  2003influential reference
• Power and sample size calculations for generalized regression models with covariate measurement error

  2003cited by this paper
• Bias in dietary-report instruments and its implications for nutritional epidemiology

  2002cited by this paper
• Bayesian Smoothing and Regression Splines for Measurement Error Problems

  2002cited by this paper
• Empirical evidence of correlated biases in dietary assessment instruments and its implications.

  2001influential reference
• Measurement error correction in nutritional epidemiology based on individual foods, with application to the relation of diet to breast cancer.

  2001cited by this paper
• Effect of measurement error on energy-adjustment models in nutritional epidemiology.

  1997influential reference
• Regression calibration method for correcting measurement-error bias in nutritional epidemiology.

  1997cited by this paper
• Asymptotics for the SIMEX Estimator in Nonlinear Measurement Error Models

  1996cited by this paper
• A Semiparametric Mixture Approach to Case-Control Studies with Errors in Covariables

  1996cited by this paper
• Correction for covariate measurement error in generalized linear models--a bootstrap approach.

  1995cited by this paper
• Simulation-Extrapolation: The Measurement Error Jackknife

  1995cited by this paper
• Instrumental Variable Estimation in Binary Regression Measurement Error Models

  1995influential reference
• Cost-efficient study designs for relative risk modeling with covariate measurement error

  1994cited by this paper
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models

  1994influential reference
• Exposure measurement error: influence on exposure-disease. Relationships and methods of correction.

  1993influential reference
• Conditional independence models for epidemiological studies with covariate measurement error.

  1993cited by this paper
• Approximate Quasi-likelihood Estimation in Models with Surrogate Predictors

  1990influential reference
• Analysis of case-control data with covariate measurement error: application to diet and colon cancer.

  1989cited by this paper
• Covariance analysis in generalized linear measurement error models.

  1989influential reference
• An overview of issues related to the correction of non-differential exposure measurement error in epidemiologic studies.

  1989cited by this paper
• Semiparametric Estimation in Logistic Measurement Error Models

  1989cited by this paper
• Approximations for Regression with Covariate Measurement Error

  1988cited by this paper
• Covariate measurement error in generalized linear models

  1987influential reference
• Conditional scores and optimal scores for generalized linear measurement-error models

  1987cited by this paper
• Deconvolving kernel density estimators

  1987influential reference
• Covariate Measurement Error in Logistic Regression

  1985influential reference
• Fitting straight lines when both variables are subject to error.

  1978cited by this paper

• The Interaction between CD36 rs1761667 Polymorphism and Dietary Phytochemical Index on the Risk Factors Related to Metabolic Syndrome

  2023cites this paper