These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 22161961)

  • 1. 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]  

  • 2. 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]  

  • 3. The partial area under the summary ROC curve.
    Walter SD
    Stat Med; 2005 Jul; 24(13):2025-40. PubMed ID: 15900606
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. A permutation test sensitive to differences in areas for comparing ROC curves from a paired design.
    Bandos AI; Rockette HE; Gur D
    Stat Med; 2005 Sep; 24(18):2873-93. PubMed ID: 16134144
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Comparison of adjustment methods for stratified two-sample tests in the context of ROC analysis.
    Zou KH; Carlsson MO; Yu CR
    Biom J; 2012 Mar; 54(2):249-63. PubMed ID: 22378312
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Comparison of non-parametric confidence intervals for the area under the ROC curve of a continuous-scale diagnostic test.
    Gengsheng Qin ; Hotilovac L
    Stat Methods Med Res; 2008 Apr; 17(2):207-21. PubMed ID: 18426855
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluating diagnostic tests: The area under the ROC curve and the balance of errors.
    Hand DJ
    Stat Med; 2010 Jun; 29(14):1502-10. PubMed ID: 20087877
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data.
    Walter SD
    Stat Med; 2002 May; 21(9):1237-56. PubMed ID: 12111876
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Selecting variables in non-parametric regression models for binary response. An application to the computerized detection of breast cancer.
    Roca-Pardiñas J; Cadarso-Suárez C; Tahoces PG; Lado MJ
    Stat Med; 2009 Jan; 28(2):240-59. PubMed ID: 18991258
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An extension of the receiver operating characteristic curve and AUC-optimal classification.
    Takenouchi T; Komori O; Eguchi S
    Neural Comput; 2012 Oct; 24(10):2789-824. PubMed ID: 22734493
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.