281 related articles for article (PubMed ID: 14744827)
1. Semi-parametric ROC regression analysis with placement values.
Cai T
Biostatistics; 2004 Jan; 5(1):45-60. PubMed ID: 14744827
[TBL] [Abstract][Full Text] [Related]
2. Smooth semiparametric receiver operating characteristic curves for continuous diagnostic tests.
Wan S; Zhang B
Stat Med; 2007 May; 26(12):2565-86. PubMed ID: 17072821
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Semiparametric estimation of time-dependent ROC curves for longitudinal marker data.
Zheng Y; Heagerty PJ
Biostatistics; 2004 Oct; 5(4):615-32. PubMed ID: 15475423
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Distribution-free ROC analysis using binary regression techniques.
Alonzo TA; Pepe MS
Biostatistics; 2002 Sep; 3(3):421-32. PubMed ID: 12933607
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. An ROC-type measure of diagnostic accuracy when the gold standard is continuous-scale.
Obuchowski NA
Stat Med; 2006 Feb; 25(3):481-93. PubMed ID: 16287217
[TBL] [Abstract][Full Text] [Related]
9. Semi-parametric area under the curve regression method for diagnostic studies with ordinal data.
Rajan KB; Zhou XH
Biom J; 2012 Jan; 54(1):143-56. PubMed ID: 22161961
[TBL] [Abstract][Full Text] [Related]
10. Serum prostate-specific antigen as a predictor of prostate volume in the community: the Krimpen study.
Bohnen AM; Groeneveld FP; Bosch JL
Eur Urol; 2007 Jun; 51(6):1645-52; discussion 1652-3. PubMed ID: 17320271
[TBL] [Abstract][Full Text] [Related]
11. Three approaches to regression analysis of receiver operating characteristic curves for continuous test results.
Pepe MS
Biometrics; 1998 Mar; 54(1):124-35. PubMed ID: 9544511
[TBL] [Abstract][Full Text] [Related]
12. Prostate-specific antigen and free prostate-specific antigen in the early detection of prostate cancer: do combination tests improve detection?
Etzioni R; Falcon S; Gann PH; Kooperberg CL; Penson DF; Stampfer MJ
Cancer Epidemiol Biomarkers Prev; 2004 Oct; 13(10):1640-5. PubMed ID: 15466981
[TBL] [Abstract][Full Text] [Related]
13. Combining diagnostic test results to increase accuracy.
Pepe MS; Thompson ML
Biostatistics; 2000 Jun; 1(2):123-40. PubMed ID: 12933515
[TBL] [Abstract][Full Text] [Related]
14. Multigene methylation analysis for detection and staging of prostate cancer.
Enokida H; Shiina H; Urakami S; Igawa M; Ogishima T; Li LC; Kawahara M; Nakagawa M; Kane CJ; Carroll PR; Dahiya R
Clin Cancer Res; 2005 Sep; 11(18):6582-8. PubMed ID: 16166436
[TBL] [Abstract][Full Text] [Related]
15. A non-inferiority test for diagnostic accuracy based on the paired partial areas under ROC curves.
Li CR; Liao CT; Liu JP
Stat Med; 2008 May; 27(10):1762-76. PubMed ID: 17968858
[TBL] [Abstract][Full Text] [Related]
16. The analysis of placement values for evaluating discriminatory measures.
Pepe MS; Cai T
Biometrics; 2004 Jun; 60(2):528-35. PubMed ID: 15180681
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Combining dependent tests to compare the diagnostic accuracies--a non-parametric approach.
Yang Y; Jin Z
Stat Med; 2006 Apr; 25(7):1239-50. PubMed ID: 16158406
[TBL] [Abstract][Full Text] [Related]
19. A marginal model approach for analysis of multi-reader multi-test receiver operating characteristic (ROC) data.
Song X; Zhou XH
Biostatistics; 2005 Apr; 6(2):303-12. PubMed ID: 15772108
[TBL] [Abstract][Full Text] [Related]
20. Bayesian semi-parametric ROC analysis.
Erkanli A; Sung M; Costello EJ; Angold A
Stat Med; 2006 Nov; 25(22):3905-28. PubMed ID: 16416403
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]