Assessment of diagnostic tests when disease verification is subject to selection bias.

C. B. Begg, Robert Greenes

Research output: Contribution to journalArticle

514 Citations (Scopus)

Abstract

In the assessment of the statistical properties of a diagnostic test, for example the sensitivity and specificity of the test, it is common to derive estimates from a sample limited to those cases for whom subsequent definitive disease verification is obtained. Omission of nonverified cases can seriously bias the estimates. In order to adjust the estimates it is necessary to make assumptions about the mechanism for selecting cases for verification. Methods for making the necessary adjustments can then be derived.

Original languageEnglish (US)
Pages (from-to)207-215
Number of pages9
JournalBiometrics
Volume39
Issue number1
StatePublished - Mar 1983
Externally publishedYes

Fingerprint

Selection Bias
Diagnostic Tests
Routine Diagnostic Tests
diagnostic techniques
Sensitivity and Specificity
Estimate
Necessary
testing
sampling
Statistical property
Specificity
Adjustment
methodology

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

Assessment of diagnostic tests when disease verification is subject to selection bias. / Begg, C. B.; Greenes, Robert.

In: Biometrics, Vol. 39, No. 1, 03.1983, p. 207-215.

Research output: Contribution to journalArticle

@article{a1a0b9a30faa47aaaf2afa57dfddbd30,
title = "Assessment of diagnostic tests when disease verification is subject to selection bias.",
abstract = "In the assessment of the statistical properties of a diagnostic test, for example the sensitivity and specificity of the test, it is common to derive estimates from a sample limited to those cases for whom subsequent definitive disease verification is obtained. Omission of nonverified cases can seriously bias the estimates. In order to adjust the estimates it is necessary to make assumptions about the mechanism for selecting cases for verification. Methods for making the necessary adjustments can then be derived.",
author = "Begg, {C. B.} and Robert Greenes",
year = "1983",
month = "3",
language = "English (US)",
volume = "39",
pages = "207--215",
journal = "Biometrics",
issn = "0006-341X",
publisher = "Wiley-Blackwell",
number = "1",

}

TY - JOUR

T1 - Assessment of diagnostic tests when disease verification is subject to selection bias.

AU - Begg, C. B.

AU - Greenes, Robert

PY - 1983/3

Y1 - 1983/3

N2 - In the assessment of the statistical properties of a diagnostic test, for example the sensitivity and specificity of the test, it is common to derive estimates from a sample limited to those cases for whom subsequent definitive disease verification is obtained. Omission of nonverified cases can seriously bias the estimates. In order to adjust the estimates it is necessary to make assumptions about the mechanism for selecting cases for verification. Methods for making the necessary adjustments can then be derived.

AB - In the assessment of the statistical properties of a diagnostic test, for example the sensitivity and specificity of the test, it is common to derive estimates from a sample limited to those cases for whom subsequent definitive disease verification is obtained. Omission of nonverified cases can seriously bias the estimates. In order to adjust the estimates it is necessary to make assumptions about the mechanism for selecting cases for verification. Methods for making the necessary adjustments can then be derived.

UR - http://www.scopus.com/inward/record.url?scp=0020728415&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0020728415&partnerID=8YFLogxK

M3 - Article

VL - 39

SP - 207

EP - 215

JO - Biometrics

JF - Biometrics

SN - 0006-341X

IS - 1

ER -