Cited by 780Statistical Methods in EpidemiologyMeta-analysis and systematic reviewsProbability and Statistical Research

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Estimating the Error Rates of Diagnostic Tests

Hui, S. L., Walter, S. D.·1980·Biometrics

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Abstract

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 maximum likelihood procedure. Generalizations to several tests applied in several populations are also possible.

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Authors: Hui, S. L., & Walter, S. D.
ORCID: Walter, S. D.
Venue: Biometrics
Publisher: JSTOR
Published: 1980-03
Volume: 36
Issue: 1
Pages: 167
ISSN: 0006-341X (ISSN-L)
DOI: 10.2307/2530508
OpenAlex: W2093268197
Cited by: 780
References: 6
Citations by year: 2026: 29 · 2025: 32 · 2024: 31 · 2023: 33 · 2022: 35 · 2021: 33 · 2020: 26 · 2019: 36 · 2018: 25 · 2017: 25 · 2016: 27 · 2015: 30 · 2014: 33 · 2013: 33 · 2012: 35
FWCI: 1.94
Type: journal article
Language: en
Open access: closed
Locations: Biometrics (publishedVersion)
PubMed (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords: diagnostic accuracy, error rate estimation, test agreement, disease prevalence estimation, multiple diagnostic tests, maximum likelihood estimation
MeSH terms: Diagnostic Errors, Humans, Probability, Skin Tests, Tuberculosis, Pulmonary, Clinical Laboratory Techniques

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Estimating the Error Rates of Diagnostic Tests

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