A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data

A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data

Abstract Background Measurement error in self-reported dietary intakes is known to bias the association between dietary intake and a health outcome of interest such as risk of a disease. The association can be distorted further by mismeasured confounders, leading to invalid results and conclusions....

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Bibliographic Details
Main Authors: George O. Agogo, Hilko van der Voet, Pieter van ’t Veer, Pietro Ferrari, David C. Muller, Emilio Sánchez-Cantalejo, Christina Bamia, Tonje Braaten, Sven Knüppel, Ingegerd Johansson, Fred A. van Eeuwijk, Hendriek C. Boshuizen
Format: Article
Language:English
Published: BMC 2016-10-01
Series:BMC Medical Research Methodology
Subjects:
Attenuation-contamination matrix
Bayesian MCMC
EPIC study
Measurement error
Validation study
Online Access:http://link.springer.com/article/10.1186/s12874-016-0240-1

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http://link.springer.com/article/10.1186/s12874-016-0240-1

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