1149 related articles for article (PubMed ID: 18613217)
41. 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]
42. A permutation test sensitive to differences in areas for comparing ROC curves from a paired design.
Bandos AI; Rockette HE; Gur D
Stat Med; 2005 Sep; 24(18):2873-93. PubMed ID: 16134144
[TBL] [Abstract][Full Text] [Related]
43. Nonparametric empirical Bayes method for comparison of treatment effects with application to stress urinary incontinence data.
Liu C; Shen W; Xie J
Pharm Stat; 2008; 7(1):42-52. PubMed ID: 17311241
[TBL] [Abstract][Full Text] [Related]
44. A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area.
Smith WD; Dutton RC; Smith NT
Stat Med; 1996 Jun; 15(11):1199-215. PubMed ID: 8804148
[TBL] [Abstract][Full Text] [Related]
45. Bivariate random effects meta-analysis of ROC curves.
Arends LR; Hamza TH; van Houwelingen JC; Heijenbrok-Kal MH; Hunink MG; Stijnen T
Med Decis Making; 2008; 28(5):621-38. PubMed ID: 18591542
[TBL] [Abstract][Full Text] [Related]
46. The use of the 'binormal' model for parametric ROC analysis of quantitative diagnostic tests.
Hanley JA
Stat Med; 1996 Jul; 15(14):1575-85. PubMed ID: 8855483
[TBL] [Abstract][Full Text] [Related]
47. 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]
48. Bayesian nonparametric estimation of ROC surface under verification bias.
Zhu R; Ghosal S
Stat Med; 2019 Aug; 38(18):3361-3377. PubMed ID: 31049998
[TBL] [Abstract][Full Text] [Related]
49. Sample size calculations for ROC studies: parametric robustness and Bayesian nonparametrics.
Cheng D; Branscum AJ; Johnson WO
Stat Med; 2012 Jan; 31(2):131-42. PubMed ID: 22139729
[TBL] [Abstract][Full Text] [Related]
50. Power and sample size estimation for the Wilcoxon rank sum test with application to comparisons of C statistics from alternative prediction models.
Rosner B; Glynn RJ
Biometrics; 2009 Mar; 65(1):188-97. PubMed ID: 18510654
[TBL] [Abstract][Full Text] [Related]
51. The agreement chart as an alternative to the receiver-operating characteristic curve for diagnostic tests.
Bangdiwala SI; Haedo AS; Natal ML; Villaveces A
J Clin Epidemiol; 2008 Sep; 61(9):866-74. PubMed ID: 18687288
[TBL] [Abstract][Full Text] [Related]
52. Discrimination measures for survival outcomes: connection between the AUC and the predictiveness curve.
Viallon V; Latouche A
Biom J; 2011 Mar; 53(2):217-36. PubMed ID: 21308725
[TBL] [Abstract][Full Text] [Related]
53. The use of receiver operating characteristic curves in biomedical informatics.
Lasko TA; Bhagwat JG; Zou KH; Ohno-Machado L
J Biomed Inform; 2005 Oct; 38(5):404-15. PubMed ID: 16198999
[TBL] [Abstract][Full Text] [Related]
54. Nonparametric statistical inference method for partial areas under receiver operating characteristic curves, with application to genomic studies.
He Y; Escobar M
Stat Med; 2008 Nov; 27(25):5291-308. PubMed ID: 18646265
[TBL] [Abstract][Full Text] [Related]
55. 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]
56. 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]
57. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data.
Walter SD
Stat Med; 2002 May; 21(9):1237-56. PubMed ID: 12111876
[TBL] [Abstract][Full Text] [Related]
58. The optimal ratio of cases to controls for estimating the classification accuracy of a biomarker.
Janes H; Pepe M
Biostatistics; 2006 Jul; 7(3):456-68. PubMed ID: 16428259
[TBL] [Abstract][Full Text] [Related]
59. Selecting variables in non-parametric regression models for binary response. An application to the computerized detection of breast cancer.
Roca-Pardiñas J; Cadarso-Suárez C; Tahoces PG; Lado MJ
Stat Med; 2009 Jan; 28(2):240-59. PubMed ID: 18991258
[TBL] [Abstract][Full Text] [Related]
60. 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]
[Previous] [Next] [New Search]
