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Titolo:
THE LATENT CLASS MODEL FOR MULTIPLE BINARY SCREENING-TESTS
Autore:
LAU TS;
Indirizzi:
CHINESE UNIV HONG KONG,DEPT STAT SHATIN HONG KONG
Titolo Testata:
Statistics in medicine
fascicolo: 20, volume: 16, anno: 1997,
pagine: 2283 - 2295
SICI:
0277-6715(1997)16:20<2283:TLCMFM>2.0.ZU;2-B
Fonte:
ISI
Lingua:
ENG
Soggetto:
ESTIMATING FALSE ALARMS; INTEROBSERVER AGREEMENT; INTRACLASS CORRELATION; MIXING DISTRIBUTION; MISSED EVENTS; KAPPA; COEFFICIENT; REAPPRAISAL; RELIABILITY; PREVALENCE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
40
Recensione:
Indirizzi per estratti:
Citazione:
T.S. Lau, "THE LATENT CLASS MODEL FOR MULTIPLE BINARY SCREENING-TESTS", Statistics in medicine, 16(20), 1997, pp. 2283-2295

Abstract

Given multiple binary tests, such as repeated application of a blind screening test to each individual in a sample, we attemt to estimate the prevalence, sensitivity and specificity of the test without knowingthe true disease status of those tested (gold standard). This problemis equivalent to finding the mixing distribution of a mixture of binomial distributions. We suggest a new method to determine the number oflatent classes. Our simulations show that the coverage probabilities of the bootstrap confidence intervals of our estimates are correct. Our methods are illustrated by examples from published medical research. (C) 1997 by John Wiley & Sons, Ltd.

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Documento generato il 01/10/20 alle ore 16:08:17