Literature DB >> 8934599

A nonparametric maximum likelihood estimator for the receiver operating characteristic curve area in the presence of verification bias.

X H Zhou1.   

Abstract

The efficacy of a diagnostic test can be represented by the area under the receiver operating characteristic (ROC) curve. In estimating the ROC curve area, a common problem is verification bias resulting from selectively verifying a subset of patients initially tested. This paper proposes a simple verification bias correction procedure for estimating the ROC curve area and its corresponding variance.

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Year:  1996        PMID: 8934599

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  10 in total

1.  Estimating the agreement and diagnostic accuracy of two diagnostic tests when one test is conducted on only a subsample of specimens.

Authors:  Hormuzd A Katki; Yan Li; David W Edelstein; Philip E Castle
Journal:  Stat Med       Date:  2011-12-04       Impact factor: 2.373

2.  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

3.  Nonparametric multiple imputation for receiver operating characteristics analysis when some biomarker values are missing at random.

Authors:  Qi Long; Xiaoxi Zhang; Chiu-Hsieh Hsu
Journal:  Stat Med       Date:  2011-11-20       Impact factor: 2.373

4.  Estimation of ROC curve with complex survey data.

Authors:  Wenliang Yao; Zhaohai Li; Barry I Graubard
Journal:  Stat Med       Date:  2014-12-29       Impact factor: 2.373

5.  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

6.  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

7.  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

8.  Time-dependent classification accuracy curve under marker-dependent sampling.

Authors:  Zhaoyin Zhu; Xiaofei Wang; Paramita Saha-Chaudhuri; Andrzej S Kosinski; Stephen L George
Journal:  Biom J       Date:  2016-04-27       Impact factor: 2.207

9.  Diagnostic test evaluation methodology: A systematic review of methods employed to evaluate diagnostic tests in the absence of gold standard - An update.

Authors:  Chinyereugo M Umemneku Chikere; Kevin Wilson; Sara Graziadio; Luke Vale; A Joy Allen
Journal:  PLoS One       Date:  2019-10-11       Impact factor: 3.240

10.  Validation of the SOS-PD scale for assessment of pediatric delirium: a multicenter study.

Authors:  Erwin Ista; Babette van Beusekom; Joost van Rosmalen; Martin C J Kneyber; Joris Lemson; Arno Brouwers; Gwen C Dieleman; Bram Dierckx; Matthijs de Hoog; Dick Tibboel; Monique van Dijk
Journal:  Crit Care       Date:  2018-11-20       Impact factor: 9.097

  10 in total

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