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Updated: Feb 25, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Bayesian analysis of pair-matched case-control studies subject to outcome misclassification
Tanja Högg1, John Petkau1, Yinshan Zhao2,3
1Department of Statistics, University of British Columbia, 2207 Main Mall, Vancouver, V6T 1Z4, British Columbia, Canada.
Abstract:
We examine the impact of nondifferential outcome misclassification on odds ratios estimated from pair-matched case-control studies and propose a Bayesian model to adjust these estimates for misclassification bias. The model relies on access to a validation subgroup with confirmed outcome status for all case-control pairs as well as prior knowledge about the positive and negative predictive value of the classification mechanism. We illustrate the model's performance on simulated data and apply it to a database study examining the presence of ten morbidities in the prodromal phase of multiple sclerosis.
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