These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
233 related articles for article (PubMed ID: 18556633)
41. Smooth semiparametric receiver operating characteristic curves for continuous diagnostic tests. Wan S; Zhang B Stat Med; 2007 May; 26(12):2565-86. PubMed ID: 17072821 [TBL] [Abstract][Full Text] [Related]
42. A Monte Carlo approach for change-point detection in the Cox proportional hazards model. Liu M; Lu W; Shao Y Stat Med; 2008 Aug; 27(19):3894-909. PubMed ID: 18254131 [TBL] [Abstract][Full Text] [Related]
43. Optimal linear combinations of multiple diagnostic biomarkers based on Youden index. Yin J; Tian L Stat Med; 2014 Apr; 33(8):1426-40. PubMed ID: 24311111 [TBL] [Abstract][Full Text] [Related]
44. Estimating the species accumulation curve using mixtures. Mao CX; Colwell RK; Chang J Biometrics; 2005 Jun; 61(2):433-41. PubMed ID: 16011689 [TBL] [Abstract][Full Text] [Related]
45. Model checking for ROC regression analysis. Cai T; Zheng Y Biometrics; 2007 Mar; 63(1):152-63. PubMed ID: 17447940 [TBL] [Abstract][Full Text] [Related]
46. A nonparametric maximum likelihood estimator for the receiver operating characteristic curve area in the presence of verification bias. Zhou XH Biometrics; 1996 Mar; 52(1):299-305. PubMed ID: 8934599 [TBL] [Abstract][Full Text] [Related]
47. Basic principles on selection and use of diagnostic tests: properties of diagnostic tests. Carneiro AV Rev Port Cardiol; 2001 Dec; 20(12):1267-74. PubMed ID: 11865687 [TBL] [Abstract][Full Text] [Related]
48. An extension of the receiver operating characteristic curve and AUC-optimal classification. Takenouchi T; Komori O; Eguchi S Neural Comput; 2012 Oct; 24(10):2789-824. PubMed ID: 22734493 [TBL] [Abstract][Full Text] [Related]
49. Bayesian semiparametric ROC curve estimation and disease diagnosis. Branscum AJ; Johnson WO; Hanson TE; Gardner IA Stat Med; 2008 Jun; 27(13):2474-96. PubMed ID: 18300333 [TBL] [Abstract][Full Text] [Related]
50. On linear combinations of biomarkers to improve diagnostic accuracy. Liu A; Schisterman EF; Zhu Y Stat Med; 2005 Jan; 24(1):37-47. PubMed ID: 15515132 [TBL] [Abstract][Full Text] [Related]
51. Reader studies for validation of CAD systems. Gallas BD; Brown DG Neural Netw; 2008; 21(2-3):387-97. PubMed ID: 18215501 [TBL] [Abstract][Full Text] [Related]
52. Bootstrap scree tests: a Monte Carlo simulation and applications to published data. Hong S; Mitchell SK; Harshman RA Br J Math Stat Psychol; 2006 May; 59(Pt 1):35-57. PubMed ID: 16709278 [TBL] [Abstract][Full Text] [Related]
53. 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]
54. A model free approach to combining biomarkers. Pfeiffer RM; Bur E Biom J; 2008 Aug; 50(4):558-70. PubMed ID: 18663762 [TBL] [Abstract][Full Text] [Related]
55. An application of linear mixed effects model to assess the agreement between two methods with replicated observations. Roy A J Biopharm Stat; 2009; 19(1):150-73. PubMed ID: 19127473 [TBL] [Abstract][Full Text] [Related]
56. Small-sample inference for the comparison of means of log-normal distributions. Gill PS Biometrics; 2004 Jun; 60(2):525-7. PubMed ID: 15180680 [TBL] [Abstract][Full Text] [Related]
57. Area under the ROC curve for a binary diagnostic test. Desbiens NA Med Decis Making; 2001; 21(5):421-2. PubMed ID: 11575492 [No Abstract] [Full Text] [Related]
58. Wilcoxon-based group sequential designs for comparison of areas under two correlated ROC curves. Zhou XH; Li SM; Gatsonis CA Stat Med; 2008 Jan; 27(2):213-23. PubMed ID: 17357988 [TBL] [Abstract][Full Text] [Related]
59. Generalized linear mixed models for multi-reader multi-case studies of diagnostic tests. Liu W; Pantoja-Galicia N; Zhang B; Kotz RM; Pennello G; Zhang H; Jacob J; Zhang Z Stat Methods Med Res; 2017 Jun; 26(3):1373-1388. PubMed ID: 25847911 [TBL] [Abstract][Full Text] [Related]
60. Determining the area under the ROC curve for a binary diagnostic test. Cantor SB; Kattan MW Med Decis Making; 2000; 20(4):468-70. PubMed ID: 11059479 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]