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

Estimating the Error Rates of Diagnostic Tests

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

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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Crossref · 10.2307/2530508

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6 of 6 references verified0 citation errors · 0 not checkable

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Authors
Hui, S. L., & Walter, S. D.
Venue
Biometrics
Publisher
JSTOR
Published
1980-03
Volume
36
Issue
1
Pages
167
ISSN
0006-341X (ISSN-L)
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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