239 related articles for article (PubMed ID: 17574132)
1. Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves.
Pesce LL; Metz CE
Acad Radiol; 2007 Jul; 14(7):814-29. PubMed ID: 17574132
[TBL] [Abstract][Full Text] [Related]
2. A bivariate contaminated binormal model for robust fitting of proper ROC curves to a pair of correlated, possibly degenerate, ROC datasets.
Zhai X; Chakraborty DP
Med Phys; 2017 Jun; 44(6):2207-2222. PubMed ID: 28382718
[TBL] [Abstract][Full Text] [Related]
3. Estimating the Area Under ROC Curve When the Fitted Binormal Curves Demonstrate Improper Shape.
Bandos AI; Guo B; Gur D
Acad Radiol; 2017 Feb; 24(2):209-219. PubMed ID: 27884464
[TBL] [Abstract][Full Text] [Related]
4. The "proper" binormal model: parametric receiver operating characteristic curve estimation with degenerate data.
Pan X; Metz CE
Acad Radiol; 1997 May; 4(5):380-9. PubMed ID: 9156236
[TBL] [Abstract][Full Text] [Related]
5. Statistical comparison of two ROC-curve estimates obtained from partially-paired datasets.
Metz CE; Herman BA; Roe CA
Med Decis Making; 1998; 18(1):110-21. PubMed ID: 9456215
[TBL] [Abstract][Full Text] [Related]
6. Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data.
Metz CE; Herman BA; Shen JH
Stat Med; 1998 May; 17(9):1033-53. PubMed ID: 9612889
[TBL] [Abstract][Full Text] [Related]
7. "Proper" Binormal ROC Curves: Theory and Maximum-Likelihood Estimation.
Metz CE; Pan X
J Math Psychol; 1999 Mar; 43(1):1-33. PubMed ID: 10069933
[TBL] [Abstract][Full Text] [Related]
8. The effect of two priors on Bayesian estimation of "Proper" binormal ROC curves from common and degenerate datasets.
Zur RM; Pesce LL; Jiang Y
Acad Radiol; 2010 Aug; 17(8):969-79. PubMed ID: 20605491
[TBL] [Abstract][Full Text] [Related]
9. Verification of modified receiver-operating characteristic software using simulated rating data.
Shiraishi J; Fukuoka D; Iha R; Inada H; Tanaka R; Hara T
Radiol Phys Technol; 2018 Dec; 11(4):406-414. PubMed ID: 30244314
[TBL] [Abstract][Full Text] [Related]
10. Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models.
Hillis SL
Stat Med; 2016 May; 35(12):2031-57. PubMed ID: 26608405
[TBL] [Abstract][Full Text] [Related]
11. Semiparametric estimation of the relationship between ROC operating points and the test-result scale: application to the proper binormal model.
Pesce LL; Horsch K; Drukker K; Metz CE
Acad Radiol; 2011 Dec; 18(12):1537-48. PubMed ID: 22055797
[TBL] [Abstract][Full Text] [Related]
12. Using the mean-to-sigma ratio as a measure of the improperness of binormal ROC curves.
Hillis SL; Berbaum KS
Acad Radiol; 2011 Feb; 18(2):143-54. PubMed ID: 21232682
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. ROC curves predicted by a model of visual search.
Chakraborty DP
Phys Med Biol; 2006 Jul; 51(14):3463-82. PubMed ID: 16825743
[TBL] [Abstract][Full Text] [Related]
16. Nonparametric estimation of ROC curves in the absence of a gold standard.
Zhou XH; Castelluccio P; Zhou C
Biometrics; 2005 Jun; 61(2):600-9. PubMed ID: 16011710
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Constructing "proper" ROCs from ordinal response data using weighted power functions.
Mossman D; Peng H
Med Decis Making; 2014 May; 34(4):523-35. PubMed ID: 24029820
[TBL] [Abstract][Full Text] [Related]
20. Using Dual Beta Distributions to Create "Proper" ROC Curves Based on Rating Category Data.
Mossman D; Peng H
Med Decis Making; 2016 Apr; 36(3):349-65. PubMed ID: 25911601
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
