Literature DB >> 6472063

Construction of receiver operating characteristic curves when disease verification is subject to selection bias.

R Gray, C B Begg, R A Greenes.   

Abstract

The estimates of ROC curves, which are frequently used in the assessment of diagnostic tests, may be biased if the sample is restricted to subjects whose disease status has been definitively verified. A method to provide an unbiased estimate of the ROC curve under these sample conditions is proposed. The new method requires information on the probability distribution of test results in the population from which the verified sample is drawn. It is illustrated using data from a study of computed tomography for fever of uncertain origin.

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Year:  1984        PMID: 6472063     DOI: 10.1177/0272989X8400400204

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  14 in total

1.  ROC curve estimation under test-result-dependent sampling.

Authors:  Xiaofei Wang; Junling Ma; Stephen L George
Journal:  Biostatistics       Date:  2012-06-20       Impact factor: 5.899

Review 2.  ROC analysis in medical imaging: a tutorial review of the literature.

Authors:  Charles E Metz
Journal:  Radiol Phys Technol       Date:  2007-10-27

3.  Semiparametric estimation of the covariate-specific ROC curve in presence of ignorable verification bias.

Authors:  Danping Liu; Xiao-Hua Zhou
Journal:  Biometrics       Date:  2011-03-01       Impact factor: 2.571

4.  Sensitivity to imputation models and assumptions in receiver operating characteristic analysis with incomplete data.

Authors:  Jale Karakaya; Erdem Karabulut; Recai M Yucel
Journal:  J Stat Comput Simul       Date:  2015       Impact factor: 1.424

5.  How to appraise a diagnostic test.

Authors:  Mohit Bhandari; Gordon H Guyatt
Journal:  World J Surg       Date:  2005-05       Impact factor: 3.352

6.  Meningococcal disease: a comparison of eight severity scores in 125 children.

Authors:  H H Derkx; J van den Hoek; W K Redekop; R P Bijlmer; S J van Deventer; P M Bossuyt
Journal:  Intensive Care Med       Date:  1996-12       Impact factor: 17.440

7.  Direct estimation of the area under the receiver operating characteristic curve in the presence of verification bias.

Authors:  Hua He; Jeffrey M Lyness; Michael P McDermott
Journal:  Stat Med       Date:  2009-02-01       Impact factor: 2.373

8.  Estimation of AUC or Partial AUC under Test-Result-Dependent Sampling.

Authors:  Xiaofei Wang; Junling Ma; Stephen George; Haibo Zhou
Journal:  Stat Biopharm Res       Date:  2012-10-01       Impact factor: 1.452

9.  Estimation of the ROC curve under verification bias.

Authors:  Ronen Fluss; Benjamin Reiser; David Faraggi; Andrea Rotnitzky
Journal:  Biom J       Date:  2009-06       Impact factor: 2.207

10.  Bias in trials comparing paired continuous tests can cause researchers to choose the wrong screening modality.

Authors:  Deborah H Glueck; Molly M Lamb; Colin I O'Donnell; Brandy M Ringham; John T Brinton; Keith E Muller; John M Lewin; Todd A Alonzo; Etta D Pisano
Journal:  BMC Med Res Methodol       Date:  2009-01-20       Impact factor: 4.615

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