140 related articles for article (PubMed ID: 23747152)
21. Confidence bands for receiver operating characteristic curves.
Ma G; Hall WJ
Med Decis Making; 1993; 13(3):191-7. PubMed ID: 8412547
[TBL] [Abstract][Full Text] [Related]
22. Measuring the effectiveness of diagnostic markers in the presence of measurement error through the use of ROC curves.
Reiser B
Stat Med; 2000 Aug; 19(16):2115-29. PubMed ID: 10931515
[TBL] [Abstract][Full Text] [Related]
23. Pooling biospecimens and limits of detection: effects on ROC curve analysis.
Mumford SL; Schisterman EF; Vexler A; Liu A
Biostatistics; 2006 Oct; 7(4):585-98. PubMed ID: 16531470
[TBL] [Abstract][Full Text] [Related]
24. Estimating the Area Under ROC Curve When the Fitted Binormal Curves Demonstrate Improper Shape.
Bandos AI; Guo B; Gur D
Acad Radiol; 2017 Feb; 24(2):209-219. PubMed ID: 27884464
[TBL] [Abstract][Full Text] [Related]
25. Biomarker selection for medical diagnosis using the partial area under the ROC curve.
Hsu MJ; Chang YC; Hsueh HM
BMC Res Notes; 2014 Jan; 7():25. PubMed ID: 24410929
[TBL] [Abstract][Full Text] [Related]
26. The Youden Index and the optimal cut-point corrected for measurement error.
Perkins NJ; Schisterman EF
Biom J; 2005 Aug; 47(4):428-41. PubMed ID: 16161802
[TBL] [Abstract][Full Text] [Related]
27. A comparison of confidence/credible interval methods for the area under the ROC curve for continuous diagnostic tests with small sample size.
Feng D; Cortese G; Baumgartner R
Stat Methods Med Res; 2017 Dec; 26(6):2603-2621. PubMed ID: 26323286
[TBL] [Abstract][Full Text] [Related]
28. Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis.
Rodríguez-Álvarez MX; Roca-Pardiñas J; Cadarso-Suárez C; Tahoces PG
Stat Methods Med Res; 2018 Mar; 27(3):740-764. PubMed ID: 29233083
[TBL] [Abstract][Full Text] [Related]
29. Joint hypothesis testing of the area under the receiver operating characteristic curve and the Youden index.
Yin J; Mutiso F; Tian L
Pharm Stat; 2021 May; 20(3):657-674. PubMed ID: 33511784
[TBL] [Abstract][Full Text] [Related]
30. A unified Bayesian framework for exact inference of area under the receiver operating characteristic curve.
Lin R; Chan KG; Shi H
Stat Methods Med Res; 2021 Oct; 30(10):2269-2287. PubMed ID: 34468238
[TBL] [Abstract][Full Text] [Related]
31. The effect of random measurement error on receiver operating characteristic (ROC) curves.
Faraggi D
Stat Med; 2000 Jan; 19(1):61-70. PubMed ID: 10623913
[TBL] [Abstract][Full Text] [Related]
32. Estimating the odds ratio when exposure has a limit of detection.
Cole SR; Chu H; Nie L; Schisterman EF
Int J Epidemiol; 2009 Dec; 38(6):1674-80. PubMed ID: 19667054
[TBL] [Abstract][Full Text] [Related]
33. A wild bootstrap approach for the selection of biomarkers in early diagnostic trials.
Zapf A; Brunner E; Konietschke F
BMC Med Res Methodol; 2015 May; 15():43. PubMed ID: 25925052
[TBL] [Abstract][Full Text] [Related]
34. Conditional estimation after a two-stage diagnostic biomarker study that allows early termination for futility.
Koopmeiners JS; Feng Z; Pepe MS
Stat Med; 2012 Feb; 31(5):420-35. PubMed ID: 22238117
[TBL] [Abstract][Full Text] [Related]
35. Time-dependent ROC analysis for censored biomarker data due to limit of detection.
Kim Y; Kong L
J Biopharm Stat; 2018; 28(4):612-621. PubMed ID: 28862526
[TBL] [Abstract][Full Text] [Related]
36. An accurate substitution method for analyzing censored data.
Ganser GH; Hewett P
J Occup Environ Hyg; 2010 Apr; 7(4):233-44. PubMed ID: 20169489
[TBL] [Abstract][Full Text] [Related]
37. Linear regression with an independent variable subject to a detection limit.
Nie L; Chu H; Liu C; Cole SR; Vexler A; Schisterman EF
Epidemiology; 2010 Jul; 21 Suppl 4(Suppl 4):S17-24. PubMed ID: 21422965
[TBL] [Abstract][Full Text] [Related]
38. Optimal combination of biomarkers for time-dependent receiver operating characteristic estimation and related problems.
Guan Z; Qin J
Stat Methods Med Res; 2017 Apr; 26(2):898-913. PubMed ID: 25432691
[TBL] [Abstract][Full Text] [Related]
39. Modeling observations with a detection limit using a truncated normal distribution with censoring.
Williams JR; Kim HW; Crespi CM
BMC Med Res Methodol; 2020 Jun; 20(1):170. PubMed ID: 32600261
[TBL] [Abstract][Full Text] [Related]
40. Empirical likelihood inference for the area under the ROC curve.
Qin G; Zhou XH
Biometrics; 2006 Jun; 62(2):613-22. PubMed ID: 16918927
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
