Bayesian inference in two-phase prevalence studies.

Published

Journal Article

This paper discusses Bayesian methods for the assessment of the prevalence of a disorder based on data from a two-phase design with a short screening instrument administered at the first phase followed by an in-depth diagnostic instrument given at the second phase. In calculating the posterior distributions of the quantities of interest, for example, the prevalence, sensitivity and specificity, and predictive distributions, we used the Gibbs sampler. We illustrate our approach by assessing the prevalence of depression in adolescents with use of data attained from a two-phase design.

Full Text

Duke Authors

Cited Authors

  • Erkanli, A; Soyer, R; Stangl, D

Published Date

  • May 30, 1997

Published In

Volume / Issue

  • 16 / 10

Start / End Page

  • 1121 - 1133

PubMed ID

  • 9179978

Pubmed Central ID

  • 9179978

International Standard Serial Number (ISSN)

  • 0277-6715

Language

  • eng

Conference Location

  • England