Comparison of operational characteristics for binary tests with clustered data.

Abstract:

: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.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Kwak M,Um SW,Jung SH

doi

10.1002/sim.6485

subject

Has Abstract

pub_date

2015-07-10 00:00:00

pages

2325-33

issue

15

eissn

0277-6715

issn

1097-0258

journal_volume

34

pub_type

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