178 related articles for article (PubMed ID: 29082535)
1. 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]
2. Easy and accurate variance estimation of the nonparametric estimator of the partial area under the ROC curve and its application.
Yu J; Yang L; Vexler A; Hutson AD
Stat Med; 2016 Jun; 35(13):2251-82. PubMed ID: 26790540
[TBL] [Abstract][Full Text] [Related]
3. Combining biomarkers for classification with covariate adjustment.
Kim S; Huang Y
Stat Med; 2017 Jul; 36(15):2347-2362. PubMed ID: 28276080
[TBL] [Abstract][Full Text] [Related]
4. On the use of min-max combination of biomarkers to maximize the partial area under the ROC curve.
Ma H; Halabi S; Liu A
J Probab Stat; 2019; 2019():. PubMed ID: 31057627
[TBL] [Abstract][Full Text] [Related]
5. Biomarker selection for medical diagnosis using the partial area under the ROC curve.
Hsu MJ; Chang YC; Hsueh HM
BMC Res Notes; 2014 Jan; 7():25. PubMed ID: 24410929
[TBL] [Abstract][Full Text] [Related]
6. Combining large number of weak biomarkers based on AUC.
Yan L; Tian L; Liu S
Stat Med; 2015 Dec; 34(29):3811-30. PubMed ID: 26227901
[TBL] [Abstract][Full Text] [Related]
7. Marker selection via maximizing the partial area under the ROC curve of linear risk scores.
Wang Z; Chang YC
Biostatistics; 2011 Apr; 12(2):369-85. PubMed ID: 20729218
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Two-way partial AUC and its properties.
Yang H; Lu K; Lyu X; Hu F
Stat Methods Med Res; 2019 Jan; 28(1):184-195. PubMed ID: 28707503
[TBL] [Abstract][Full Text] [Related]
10. Optimal linear combination of biomarkers for multi-category diagnosis.
Hsu MJ; Chen YH
Stat Med; 2016 Jan; 35(2):202-13. PubMed ID: 26250879
[TBL] [Abstract][Full Text] [Related]
11. An analytic expression for the binormal partial area under the ROC curve.
Hillis SL; Metz CE
Acad Radiol; 2012 Dec; 19(12):1491-8. PubMed ID: 23122568
[TBL] [Abstract][Full Text] [Related]
12. A boosting method for maximizing the partial area under the ROC curve.
Komori O; Eguchi S
BMC Bioinformatics; 2010 Jun; 11():314. PubMed ID: 20537139
[TBL] [Abstract][Full Text] [Related]
13. Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis.
Rodríguez-Álvarez MX; Roca-Pardiñas J; Cadarso-Suárez C; Tahoces PG
Stat Methods Med Res; 2018 Mar; 27(3):740-764. PubMed ID: 29233083
[TBL] [Abstract][Full Text] [Related]
14. A semiparametric method for comparing the discriminatory ability of biomarkers subject to limit of detection.
Yin L; Diao G; Liu A
Stat Med; 2017 Nov; 36(26):4141-4152. PubMed ID: 28744876
[TBL] [Abstract][Full Text] [Related]
15. Linear combinations of biomarkers to improve diagnostic accuracy with three ordinal diagnostic categories.
Kang L; Xiong C; Crane P; Tian L
Stat Med; 2013 Feb; 32(4):631-43. PubMed ID: 22865796
[TBL] [Abstract][Full Text] [Related]
16. A min-max combination of biomarkers to improve diagnostic accuracy.
Liu C; Liu A; Halabi S
Stat Med; 2011 Jul; 30(16):2005-14. PubMed ID: 21472763
[TBL] [Abstract][Full Text] [Related]
17. A PAUC-based estimation technique for disease classification and biomarker selection.
Schmid M; Hothorn T; Krause F; Rabe C
Stat Appl Genet Mol Biol; 2012 Oct; 11(5):. PubMed ID: 23033406
[TBL] [Abstract][Full Text] [Related]
18. On use of partial area under the ROC curve for evaluation of diagnostic performance.
Ma H; Bandos AI; Rockette HE; Gur D
Stat Med; 2013 Sep; 32(20):3449-58. PubMed ID: 23508757
[TBL] [Abstract][Full Text] [Related]
19. Comparison of two correlated ROC curves at a given specificity or sensitivity level.
Bantis LE; Feng Z
Stat Med; 2016 Oct; 35(24):4352-4367. PubMed ID: 27324068
[TBL] [Abstract][Full Text] [Related]
20. Jackknife variance of the partial area under the empirical receiver operating characteristic curve.
Bandos AI; Guo B; Gur D
Stat Methods Med Res; 2017 Apr; 26(2):528-541. PubMed ID: 25228637
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]