Format

Send to

Choose Destination
Stat Med. 2014 May 20;33(11):1801-15. doi: 10.1002/sim.6085. Epub 2014 Jan 9.

Value of information methods for assessing a new diagnostic test.

Author information

1
Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Abstract

Value-of-information methods are applied to assess the evidence in support of a new diagnostic test and, where the evidence is insufficient for decision making, to determine the optimal sample size for future studies. Net benefit formulations are derived under various diagnostic and treatment scenarios. The expressions for the expected opportunity loss of adopting strategies that include the new test are given. Expressions for the expected value of information from future studies are derived. One-sample and two-sample designs, with or without known prevalence, are considered. An example is given.

KEYWORDS:

diagnostic tests; full Bayesian approach, incremental net benefit; value of information

PMID:
24403241
DOI:
10.1002/sim.6085
[Indexed for MEDLINE]

Supplemental Content

Loading ...
Support Center