Bayesian adjustment for measurement error in continuous exposures in an individually matched case-control study.

ABSTRACT:

Background

In epidemiological studies explanatory variables are frequently subject to measurement error. The aim of this paper is to develop a Bayesian method to correct for measurement error in multiple continuous exposures in individually matched case-control studies. This is a topic that has not been widely investigated. The new method is illustrated using data from an individually matched case-control study of the association between thyroid hormone levels during pregnancy and exposure to perfluorinated acids. The objective of the motivating study was to examine the risk of maternal hypothyroxinemia due to exposure to three perfluorinated acids measured on a continuous scale. Results from the proposed method are compared with those obtained from a naive analysis.

Methods

SUBMITTER: Espino-Hernandez G 

PROVIDER: S-EPMC3120807 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature