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Stat Med. 2014 Oct 30;33(24):4141-69. doi: 10.1002/sim.6218. Epub 2014 Jun 9.

Estimation of diagnostic test accuracy without full verification: a review of latent class methods.

Author information

1
Rehabilitation Medicine Department, National Institutes of Health, Bethesda MD 20892, U.S.A.

Abstract

The performance of a diagnostic test is best evaluated against a reference test that is without error. For many diseases, this is not possible, and an imperfect reference test must be used. However, diagnostic accuracy estimates may be biased if inaccurately verified status is used as the truth. Statistical models have been developed to handle this situation by treating disease as a latent variable. In this paper, we conduct a systematized review of statistical methods using latent class models for estimating test accuracy and disease prevalence in the absence of complete verification.

KEYWORDS:

diagnostic testing; latent class model; no gold standard; review; sensitivity; specificity

PMID:
24910172
PMCID:
PMC4199084
DOI:
10.1002/sim.6218
[Indexed for MEDLINE]
Free PMC Article

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