Comparison of operational characteristics for binary tests with clustered data.

Published

Journal Article

Although statistical methodology is well-developed for comparing diagnostic tests in terms of their sensitivity and specificity, comparative inference about predictive values is not. In this paper, we consider the analysis of studies comparing operating characteristics of two diagnostic tests that are measured on all subjects and have test outcomes from multiple sites with varying number of sites among subjects. We have developed a new approach for comparing sensitivity, specificity, positive predictive value, and negative predictive value with simple variance calculation and, in particular, focus on comparing tests using difference of positive and negative predictive values. Simulation studies are conducted to show the performance of our approach. We analyze real data on patients with lung cancer, based on their diagnostic tests, to illustrate the methodology.

Full Text

Duke Authors

Cited Authors

  • Kwak, M; Um, S-W; Jung, S-H

Published Date

  • July 10, 2015

Published In

Volume / Issue

  • 34 / 15

Start / End Page

  • 2325 - 2333

PubMed ID

  • 25801180

Pubmed Central ID

  • 25801180

Electronic International Standard Serial Number (EISSN)

  • 1097-0258

Digital Object Identifier (DOI)

  • 10.1002/sim.6485

Language

  • eng

Conference Location

  • England