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.
2. 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]
3. A new parametric method based on S-distributions for computing receiver operating characteristic curves for continuous diagnostic tests. Sorribas A, March J, Trujillano J. Stat Med; 2002 May 15; 21(9):1213-35. PubMed ID: 12111875 [Abstract] [Full Text] [Related]
4. 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]
8. 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]
12. Empirical likelihood inference for the area under the ROC curve. Qin G, Zhou XH. Biometrics; 2006 Jun 20; 62(2):613-22. PubMed ID: 16918927 [Abstract] [Full Text] [Related]
13. Profile-likelihood inference for highly accurate diagnostic tests. Tsimikas JV, Bosch RJ, Coull BA, El Barmi H. Biometrics; 2002 Dec 20; 58(4):946-56. PubMed ID: 12495149 [Abstract] [Full Text] [Related]
14. 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]