276 related articles for article (PubMed ID: 27324068)
21. 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]
22. Predictive inference for best linear combination of biomarkers subject to limits of detection.
Coolen-Maturi T
Stat Med; 2017 Aug; 36(18):2844-2874. PubMed ID: 28556298
[TBL] [Abstract][Full Text] [Related]
23. Nonparametric estimation of time-dependent ROC curves conditional on a continuous covariate.
Rodríguez-Álvarez MX; Meira-Machado L; Abu-Assi E; Raposeiras-Roubín S
Stat Med; 2016 Mar; 35(7):1090-102. PubMed ID: 26487068
[TBL] [Abstract][Full Text] [Related]
24. Combining multiple biomarkers linearly to maximize the partial area under the ROC curve.
Yan Q; Bantis LE; Stanford JL; Feng Z
Stat Med; 2018 Feb; 37(4):627-642. PubMed ID: 29082535
[TBL] [Abstract][Full Text] [Related]
25. Evaluating and comparing biomarkers with respect to the area under the receiver operating characteristics curve in two-phase case-control studies.
Huang Y
Biostatistics; 2016 Jul; 17(3):499-522. PubMed ID: 26883772
[TBL] [Abstract][Full Text] [Related]
26. Combining biomarkers linearly and nonlinearly for classification using the area under the ROC curve.
Fong Y; Yin S; Huang Y
Stat Med; 2016 Sep; 35(21):3792-809. PubMed ID: 27058981
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Semiparametric transformation models for multiple continuous biomarkers in ROC analysis.
Kim E; Zeng D; Zhou XH
Biom J; 2015 Sep; 57(5):808-33. PubMed ID: 26138227
[TBL] [Abstract][Full Text] [Related]
29. On the use of partial area under the ROC curve for comparison of two diagnostic tests.
Ma H; Bandos AI; Gur D
Biom J; 2015 Mar; 57(2):304-20. PubMed ID: 25537143
[TBL] [Abstract][Full Text] [Related]
30. A direct method to evaluate the time-dependent predictive accuracy for biomarkers.
Shen W; Ning J; Yuan Y
Biometrics; 2015 Jun; 71(2):439-49. PubMed ID: 25758584
[TBL] [Abstract][Full Text] [Related]
31. The average receiver operating characteristic curve in multireader multicase imaging studies.
Chen W; Samuelson FW
Br J Radiol; 2014 Aug; 87(1040):20140016. PubMed ID: 24884728
[TBL] [Abstract][Full Text] [Related]
32. The length of the receiver operating characteristic curve and the two cutoff Youden index within a robust framework for discovery, evaluation, and cutoff estimation in biomarker studies involving improper receiver operating characteristic curves.
Bantis LE; Tsimikas JV; Chambers GR; Capello M; Hanash S; Feng Z
Stat Med; 2021 Mar; 40(7):1767-1789. PubMed ID: 33530129
[TBL] [Abstract][Full Text] [Related]
33. Least squares regression methods for clustered ROC data with discrete covariates.
Tang LL; Zhang W; Li Q; Ye X; Chan L
Biom J; 2016 Jul; 58(4):747-65. PubMed ID: 26848938
[TBL] [Abstract][Full Text] [Related]
34. A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method.
Zou KH; Resnic FS; Talos IF; Goldberg-Zimring D; Bhagwat JG; Haker SJ; Kikinis R; Jolesz FA; Ohno-Machado L
J Biomed Inform; 2005 Oct; 38(5):395-403. PubMed ID: 16198998
[TBL] [Abstract][Full Text] [Related]
35. A conditional nonparametric test for comparing two areas under the ROC curves from a paired design.
Bandos AI; Rockette HE; Gur D
Acad Radiol; 2005 Mar; 12(3):291-7. PubMed ID: 15766688
[TBL] [Abstract][Full Text] [Related]
36. Bayesian bootstrap estimation of ROC curve.
Gu J; Ghosal S; Roy A
Stat Med; 2008 Nov; 27(26):5407-20. PubMed ID: 18613217
[TBL] [Abstract][Full Text] [Related]
37. Smooth time-dependent receiver operating characteristic curve estimators.
Martínez-Camblor P; Pardo-Fernández JC
Stat Methods Med Res; 2018 Mar; 27(3):651-674. PubMed ID: 29187044
[TBL] [Abstract][Full Text] [Related]
38. Receiver operating characteristic analysis under tree orderings of disease classes.
Wang D; Attwood K; Tian L
Stat Med; 2016 May; 35(11):1907-26. PubMed ID: 26678355
[TBL] [Abstract][Full Text] [Related]
39. Bias in trials comparing paired continuous tests can cause researchers to choose the wrong screening modality.
Glueck DH; Lamb MM; O'Donnell CI; Ringham BM; Brinton JT; Muller KE; Lewin JM; Alonzo TA; Pisano ED
BMC Med Res Methodol; 2009 Jan; 9():4. PubMed ID: 19154609
[TBL] [Abstract][Full Text] [Related]
40. Nonparametric multivariate inference on shift parameters.
Kolassa JE; Seifu Y
Acad Radiol; 2013 Jul; 20(7):883-8. PubMed ID: 23628259
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]