Estimating the Error Rates of Diagnostic Tests.¶
Hui, S. L., & Walter, S. D. (1980). Estimating the Error Rates of Diagnostic Tests. Biometrics, 36(1), 167-171.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Ground Truth
- Multi-reference triangulation: when no single reference is trustworthy, the pattern licenses combining several through composite gold standards, latent-class analysis, or ensembles of oracles, the structural move being graceful degradation under an imperfect reference.
This sourceLatent-class method for estimating test accuracy when no perfect gold-standard reference exists — the basis for composite-reference triangulation.
Supported in partVerified against the publisher's abstract
Hui & Walter's abstract states the latent-class MLE for test error rates with no perfect reference, one of the three techniques the claim names.
“It is often required to evaluate the accuracy of a new diagnostic test against a standard test with unknown error rates. If the two tests are applied simultaneously to the same individuals from two populations with different disease prevalences, then assuming conditional independence of the errors of the two tests, the error rates of both tests and the true prevalences in both populations can be estimated by a …”
- Multi-reference triangulation: when no single reference is trustworthy, the pattern licenses combining several through composite gold standards, latent-class analysis, or ensembles of oracles, the structural move being graceful degradation under an imperfect reference.
Verification¶
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