Conditional independence models for epidemiological studies with covariate measurement error
- 30 September 1993
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 12 (18) , 1703-1722
- https://doi.org/10.1002/sim.4780121806
Abstract
We construct a unifying representation of the structure of measurement error problems with particular reference to situations commonly encountered in epidemiological studies, and outline how estimation of the parameters of interest can be carried out in a Bayesian framework using Gibbs sampling. We show how this approach can be implemented for designs involving continuous measurement errors assessed through a validation substudy, and discuss our results on simulated data.Keywords
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