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Items: 1 to 20 of 112

1.

A general regression methodology for ROC curve estimation.

Tosteson AN, Begg CB.

Med Decis Making. 1988 Jul-Sep;8(3):204-15.

PMID:
3294553
2.

ROC curve regression analysis: the use of ordinal regression models for diagnostic test assessment.

Tosteson AN, Weinstein MC, Wittenberg J, Begg CB.

Environ Health Perspect. 1994 Nov;102 Suppl 8:73-8.

3.

Bayesian analysis of ROC curves using Markov-chain Monte Carlo methods.

Peng F, Hall WJ.

Med Decis Making. 1996 Oct-Dec;16(4):404-11.

PMID:
8912302
4.

Smooth non-parametric receiver operating characteristic (ROC) curves for continuous diagnostic tests.

Zou KH, Hall WJ, Shapiro DE.

Stat Med. 1997 Oct 15;16(19):2143-56.

PMID:
9330425
5.
6.

Goodness-of-fit issues in ROC curve estimation.

Walsh SJ.

Med Decis Making. 1999 Apr-Jun;19(2):193-201.

PMID:
10231082
7.

Statistical comparison of ROC curves from multiple readers.

Swaving M, van Houwelingen H, Ottes FP, Steerneman T.

Med Decis Making. 1996 Apr-Jun;16(2):143-52.

PMID:
8778532
8.

Semiparametric estimation of the covariate-specific ROC curve in presence of ignorable verification bias.

Liu D, Zhou XH.

Biometrics. 2011 Sep;67(3):906-16. doi: 10.1111/j.1541-0420.2011.01562.x. Epub 2011 Mar 1.

9.

Bayesian bootstrap estimation of ROC curve.

Gu J, Ghosal S, Roy A.

Stat Med. 2008 Nov 20;27(26):5407-20. doi: 10.1002/sim.3366.

PMID:
18613217
10.

ROC curve estimation when covariates affect the verification process.

Rodenberg C, Zhou XH.

Biometrics. 2000 Dec;56(4):1256-62.

PMID:
11129488
11.

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. doi: 10.1016/j.acra.2010.09.002.

12.

Minimum-norm estimation for binormal receiver operating characteristic (ROC) curves.

Davidov O, Nov Y.

Biom J. 2009 Dec;51(6):1030-46. doi: 10.1002/bimj.200900128.

PMID:
19894216
13.

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. doi: 10.1016/j.acra.2011.08.003.

14.

Sample size determination for diagnostic accuracy studies involving binormal ROC curve indices.

Obuchowski NA, McClish DK.

Stat Med. 1997 Jul 15;16(13):1529-42.

PMID:
9249923
15.

ROC curves and the binormal assumption.

Somoza E, Mossman D.

J Neuropsychiatry Clin Neurosci. 1991 Fall;3(4):436-9.

PMID:
1821267
16.
17.

A Bayesian approach to a general regression model for ROC curves.

Hellmich M, Abrams KR, Jones DR, Lambert PC.

Med Decis Making. 1998 Oct-Dec;18(4):436-43.

PMID:
10372587
19.

Equivalence of binormal likelihood-ratio and bi-chi-squared ROC curve models.

Hillis SL.

Stat Med. 2016 May 30;35(12):2031-57. doi: 10.1002/sim.6816. Epub 2015 Nov 25.

20.

The diagnostic accuracy/efficacy of MRI in differentiating hepatic hemangiomas from metastatic colorectal/breast carcinoma: a multiple reader ROC analysis using a jackknife technique.

Lee MG, Baker ME, Sostman HD, Spritzer CE, Paine S, Paulson EK, Keogan MT.

J Comput Assist Tomogr. 1996 Nov-Dec;20(6):905-13.

PMID:
8933789

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