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PubMed · 8248663

Conditional independence models for epidemiological studies with covariate measurement error.

S Richardson·W R Gilks
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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.

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Analysis of VarianceBreast NeoplasmsCohort StudiesData Interpretation, StatisticalDiseaseEpidemiologic MethodsFeeding BehaviorFemaleHumansModels, StatisticalProspective StudiesRisk FactorsJournal Article

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BibTeXRIS

S Richardson, W R Gilks. 1993-09-30. Conditional independence models for epidemiological studies with covariate measurement error.. https://doi.org/10.1002/sim.4780121806

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