231 related articles for article (PubMed ID: 26608405)
1. 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]
2. 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]
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. 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]
6. The use of the 'binormal' model for parametric ROC analysis of quantitative diagnostic tests.
Hanley JA
Stat Med; 1996 Jul; 15(14):1575-85. PubMed ID: 8855483
[TBL] [Abstract][Full Text] [Related]
7. 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; 21(9):1213-35. PubMed ID: 12111875
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Goodness-of-fit issues in ROC curve estimation.
Walsh SJ
Med Decis Making; 1999; 19(2):193-201. PubMed ID: 10231082
[TBL] [Abstract][Full Text] [Related]
10. "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]
11. Proper ROC analysis and joint ROC analysis of the satisfaction of search effect in chest radiology.
Berbaum KS; Dorfman DD; Franken EA; Caldwell RT
Acad Radiol; 2000 Nov; 7(11):945-58. PubMed ID: 11089697
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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; 56(4):678-96. PubMed ID: 24648388
[TBL] [Abstract][Full Text] [Related]
14. A contaminated binormal model for ROC data: Part III. Initial evaluation with detection ROC data.
Dorfman DD; Berbaum KS
Acad Radiol; 2000 Jun; 7(6):438-47. PubMed ID: 10845403
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Perceptually based FROC analysis.
Arora R; Kundel HL; Beam CA
Acad Radiol; 2005 Dec; 12(12):1567-74. PubMed ID: 16321746
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Proper receiver operating characteristic analysis: the bigamma model.
Dorfman DD; Berbaum KS; Metz CE; Lenth RV; Hanley JA; Abu Dagga H
Acad Radiol; 1997 Feb; 4(2):138-49. PubMed ID: 9061087
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]