500 related articles for article (PubMed ID: 18985706)
21. Three approaches to regression analysis of receiver operating characteristic curves for continuous test results.
Pepe MS
Biometrics; 1998 Mar; 54(1):124-35. PubMed ID: 9544511
[TBL] [Abstract][Full Text] [Related]
22. Comparison of non-parametric confidence intervals for the area under the ROC curve of a continuous-scale diagnostic test.
Gengsheng Qin ; Hotilovac L
Stat Methods Med Res; 2008 Apr; 17(2):207-21. PubMed ID: 18426855
[TBL] [Abstract][Full Text] [Related]
23. Compare diagnostic tests using transformation-invariant smoothed ROC curves().
Tang L; Du P; Wu C
J Stat Plan Inference; 2010 Nov; 140(11):3540-3551. PubMed ID: 22639484
[TBL] [Abstract][Full Text] [Related]
24. Comparison of correlated receiver operating characteristic curves derived from repeated diagnostic test data.
Zou KH
Acad Radiol; 2001 Mar; 8(3):225-33. PubMed ID: 11249086
[TBL] [Abstract][Full Text] [Related]
25. Advantages to transforming the receiver operating characteristic (ROC) curve into likelihood ratio co-ordinates.
Johnson NP
Stat Med; 2004 Jul; 23(14):2257-66. PubMed ID: 15236429
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test.
Cai T; Moskowitz CS
Biostatistics; 2004 Oct; 5(4):573-86. PubMed ID: 15475420
[TBL] [Abstract][Full Text] [Related]
28. Analysis of correlated ROC areas in diagnostic testing.
Song HH
Biometrics; 1997 Mar; 53(1):370-82. PubMed ID: 9147602
[TBL] [Abstract][Full Text] [Related]
29. A smooth ROC curve estimator based on log-concave density estimates.
Rufibach K
Int J Biostat; 2012; 8(1):. PubMed ID: 22611590
[TBL] [Abstract][Full Text] [Related]
30. ROC graphs for assessing the ability of a diagnostic marker to detect three disease classes with an umbrella ordering.
Nakas CT; Alonzo TA
Biometrics; 2007 Jun; 63(2):603-9. PubMed ID: 17688513
[TBL] [Abstract][Full Text] [Related]
31. The partial area under the summary ROC curve.
Walter SD
Stat Med; 2005 Jul; 24(13):2025-40. PubMed ID: 15900606
[TBL] [Abstract][Full Text] [Related]
32. Minimum-norm estimation for binormal receiver operating characteristic (ROC) curves.
Davidov O; Nov Y
Biom J; 2009 Dec; 51(6):1030-46. PubMed ID: 19894216
[TBL] [Abstract][Full Text] [Related]
33. Semi-parametric ROC regression analysis with placement values.
Cai T
Biostatistics; 2004 Jan; 5(1):45-60. PubMed ID: 14744827
[TBL] [Abstract][Full Text] [Related]
34. Distribution-free ROC analysis using binary regression techniques.
Alonzo TA; Pepe MS
Biostatistics; 2002 Sep; 3(3):421-32. PubMed ID: 12933607
[TBL] [Abstract][Full Text] [Related]
35. Nearest-Neighbor Estimation for ROC Analysis under Verification Bias.
Adimari G; Chiogna M
Int J Biostat; 2015 May; 11(1):109-24. PubMed ID: 25781712
[TBL] [Abstract][Full Text] [Related]
36. Comparison of adjustment methods for stratified two-sample tests in the context of ROC analysis.
Zou KH; Carlsson MO; Yu CR
Biom J; 2012 Mar; 54(2):249-63. PubMed ID: 22378312
[TBL] [Abstract][Full Text] [Related]
37. A marginal model approach for analysis of multi-reader multi-test receiver operating characteristic (ROC) data.
Song X; Zhou XH
Biostatistics; 2005 Apr; 6(2):303-12. PubMed ID: 15772108
[TBL] [Abstract][Full Text] [Related]
38. Combining diagnostic test results to increase accuracy.
Pepe MS; Thompson ML
Biostatistics; 2000 Jun; 1(2):123-40. PubMed ID: 12933515
[TBL] [Abstract][Full Text] [Related]
39. Robust combination of multiple diagnostic tests for classifying censored event times.
Cai T; Cheng S
Biostatistics; 2008 Apr; 9(2):216-33. PubMed ID: 18056687
[TBL] [Abstract][Full Text] [Related]
40. Semiparametric estimation of time-dependent ROC curves for longitudinal marker data.
Zheng Y; Heagerty PJ
Biostatistics; 2004 Oct; 5(4):615-32. PubMed ID: 15475423
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
