A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data
File(s)Agogo et al. - 2016.pdf (533.58 KB)
Published version
OA Location
Author(s)
Type
Journal Article
Abstract
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. It is, however, difficult to adjust for the bias in the association when there is no internal validation data.
Date Issued
2016-10-13
Date Acceptance
2016-10-05
Citation
BMC Medical Research Methodology, 2016, 16
ISSN
1471-2288
Publisher
BioMed Central
Journal / Book Title
BMC Medical Research Methodology
Volume
16
Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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Subjects
General & Internal Medicine
1117 Public Health And Health Services
Publication Status
Published
Article Number
139