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March 2014 A semi-parametric Bayesian model of inter- and intra-examiner agreement for periodontal probing depth
E. G. Hill, E. H. Slate
Ann. Appl. Stat. 8(1): 331-351 (March 2014). DOI: 10.1214/13-AOAS688

Abstract

Periodontal probing depth is a measure of periodontitis severity. We develop a Bayesian hierarchical model linking true pocket depth to both observed and recorded values of periodontal probing depth, while permitting correlation among measures obtained from the same mouth and between duplicate examiners’ measures obtained at the same periodontal site. Periodontal site-specific examiner effects are modeled as arising from a Dirichlet process mixture, facilitating identification of classes of sites that are measured with similar bias. Using simulated data, we demonstrate the model’s ability to recover examiner site-specific bias and variance heterogeneity and to provide cluster-adjusted point and interval agreement estimates. We conclude with an analysis of data from a probing depth calibration training exercise.

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E. G. Hill. E. H. Slate. "A semi-parametric Bayesian model of inter- and intra-examiner agreement for periodontal probing depth." Ann. Appl. Stat. 8 (1) 331 - 351, March 2014. https://doi.org/10.1214/13-AOAS688

Information

Published: March 2014
First available in Project Euclid: 8 April 2014

zbMATH: 06302238
MathSciNet: MR3191993
Digital Object Identifier: 10.1214/13-AOAS688

Keywords: Agreement , cluster-correlated data , clustering , Dirichlet process mixture model , measurement error , periodontal disease , weighted kappa

Rights: Copyright © 2014 Institute of Mathematical Statistics

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Vol.8 • No. 1 • March 2014
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