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Journal Abstract Search
191 related items for PubMed ID: 19691022
1. Interval estimation for the difference in paired areas under the ROC curves in the absence of a gold standard test. Hsieh HN, Su HY, Zhou XH. Stat Med; 2009 Nov 10; 28(25):3108-23. PubMed ID: 19691022 [Abstract] [Full Text] [Related]
2. Estimating confidence intervals for the difference in diagnostic accuracy with three ordinal diagnostic categories without a gold standard. Kang L, Xiong C, Tian L. Comput Stat Data Anal; 2013 Dec 10; 68():. PubMed ID: 24415817 [Abstract] [Full Text] [Related]
3. Using confidence intervals to compare several correlated areas under the receiver operating characteristic curves. Zou GY, Yue L. Stat Med; 2013 Dec 20; 32(29):5077-90. PubMed ID: 23824874 [Abstract] [Full Text] [Related]
4. A non-inferiority test for diagnostic accuracy based on the paired partial areas under ROC curves. Li CR, Liao CT, Liu JP. Stat Med; 2008 May 10; 27(10):1762-76. PubMed ID: 17968858 [Abstract] [Full Text] [Related]
6. On the exact interval estimation for the difference in paired areas under the ROC curves. Li CR, Liao CT, Liu JP. Stat Med; 2008 Jan 30; 27(2):224-42. PubMed ID: 17139702 [Abstract] [Full Text] [Related]
7. 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 30; 26(3):1373-1388. PubMed ID: 25847911 [Abstract] [Full Text] [Related]
8. Novel tests for evaluating two ROC curves under paired samples. Hwang YT, Wang CC. J Biopharm Stat; 2018 Jun 30; 28(3):501-517. PubMed ID: 28541824 [Abstract] [Full Text] [Related]
9. COMPROC and CHECKNORM: computer programs for comparing accuracies of diagnostic tests using ROC curves in the presence of verification bias. Zhou XH, Higgs RE. Comput Methods Programs Biomed; 1998 Nov 30; 57(3):179-86. PubMed ID: 9822855 [Abstract] [Full Text] [Related]
10. Bayesian bootstrap estimation of ROC curve. Gu J, Ghosal S, Roy A. Stat Med; 2008 Nov 20; 27(26):5407-20. PubMed ID: 18613217 [Abstract] [Full Text] [Related]
12. 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 20; 26(6):2603-2621. PubMed ID: 26323286 [Abstract] [Full Text] [Related]
13. Confidence intervals of the difference between areas under two ROC curves in matched-pair experiments. Zhang Y, Tang N. Stat Med; 2020 Sep 10; 39(20):2621-2638. PubMed ID: 32390284 [Abstract] [Full Text] [Related]
14. Nonparametric estimation of ROC curves in the absence of a gold standard. Zhou XH, Castelluccio P, Zhou C. Biometrics; 2005 Jun 10; 61(2):600-9. PubMed ID: 16011710 [Abstract] [Full Text] [Related]
18. Semiparametric empirical likelihood confidence intervals for the difference of areas under two correlated ROC curves under density ratio model. Zhang D, Zhang B. Biom J; 2014 Jul 10; 56(4):678-96. PubMed ID: 24648388 [Abstract] [Full Text] [Related]
19. An ROC-type measure of diagnostic accuracy when the gold standard is continuous-scale. Obuchowski NA. Stat Med; 2006 Feb 15; 25(3):481-93. PubMed ID: 16287217 [Abstract] [Full Text] [Related]
20. A modified Wald interval for the area under the ROC curve (AUC) in diagnostic case-control studies. Kottas M, Kuss O, Zapf A. BMC Med Res Methodol; 2014 Feb 19; 14():26. PubMed ID: 24552686 [Abstract] [Full Text] [Related] Page: [Next] [New Search]