Estimating the error rates of diagnostic tests.

Siu Hui, S. D. Walter

Research output: Contribution to journalArticle

443 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)167-171
Number of pages5
JournalBiometrics
Volume36
Issue number1
StatePublished - Mar 1980
Externally publishedYes

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Diagnostic Tests
Routine Diagnostic Tests
diagnostic techniques
Error Rate
Population
testing
Maximum likelihood
Conditional Independence
disease prevalence
Maximum Likelihood
Unknown
Evaluate

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics
  • Statistics and Probability
  • Public Health, Environmental and Occupational Health

Cite this

Hui, S., & Walter, S. D. (1980). Estimating the error rates of diagnostic tests. Biometrics, 36(1), 167-171.

Estimating the error rates of diagnostic tests. / Hui, Siu; Walter, S. D.

In: Biometrics, Vol. 36, No. 1, 03.1980, p. 167-171.

Research output: Contribution to journalArticle

Hui, S & Walter, SD 1980, 'Estimating the error rates of diagnostic tests.', Biometrics, vol. 36, no. 1, pp. 167-171.
Hui, Siu ; Walter, S. D. / Estimating the error rates of diagnostic tests. In: Biometrics. 1980 ; Vol. 36, No. 1. pp. 167-171.
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