BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 24415817)

  • 1. Estimating confidence intervals for the difference in diagnostic accuracy with three ordinal diagnostic categories without a gold standard.
    Kang L; Xiong C; Tian L
    Comput Stat Data Anal; 2013 Dec; 68():. PubMed ID: 24415817
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exact confidence interval estimation for the difference in diagnostic accuracy with three ordinal diagnostic groups.
    Tian L; Xiong C; Lai CY; Vexler A
    J Stat Plan Inference; 2011 Jan; 141(1):549-558. PubMed ID: 23538945
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Interval estimation for the difference in paired areas under the ROC curves in the absence of a gold standard test.
    Hsieh HN; Su HY; Zhou XH
    Stat Med; 2009 Nov; 28(25):3108-23. PubMed ID: 19691022
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A parametric comparison of diagnostic accuracy with three ordinal diagnostic groups.
    Xiong C; van Belle G; Miller JP; Yan Y; Gao F; Yu K; Morris JC
    Biom J; 2007 Aug; 49(5):682-93. PubMed ID: 17763377
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Measuring and estimating diagnostic accuracy when there are three ordinal diagnostic groups.
    Xiong C; van Belle G; Miller JP; Morris JC
    Stat Med; 2006 Apr; 25(7):1251-73. PubMed ID: 16345029
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Confidence interval estimation of the difference between two sensitivities to the early disease stage.
    Dong T; Kang L; Hutson A; Xiong C; Tian L
    Biom J; 2014 Mar; 56(2):270-86. PubMed ID: 24265123
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Linear combinations of biomarkers to improve diagnostic accuracy with three ordinal diagnostic categories.
    Kang L; Xiong C; Crane P; Tian L
    Stat Med; 2013 Feb; 32(4):631-43. PubMed ID: 22865796
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Confidence Interval Estimation for Sensitivity to the Early Diseased Stage Based on Empirical Likelihood.
    Dong T; Tian L
    J Biopharm Stat; 2015; 25(6):1215-33. PubMed ID: 25372999
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. A comparison of confidence/credible interval methods for the area under the ROC curve for continuous diagnostic tests with small sample size.
    Feng D; Cortese G; Baumgartner R
    Stat Methods Med Res; 2017 Dec; 26(6):2603-2621. PubMed ID: 26323286
    [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. Parametric and non-parametric confidence intervals of the probability of identifying early disease stage given sensitivity to full disease and specificity with three ordinal diagnostic groups.
    Dong T; Tian L; Hutson A; Xiong C
    Stat Med; 2011 Dec; 30(30):3532-45. PubMed ID: 22139763
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generalized linear mixed models for multi-reader multi-case studies of diagnostic tests.
    Liu W; Pantoja-Galicia N; Zhang B; Kotz RM; Pennello G; Zhang H; Jacob J; Zhang Z
    Stat Methods Med Res; 2017 Jun; 26(3):1373-1388. PubMed ID: 25847911
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimation of Area Under the ROC Curve under nonignorable verification bias.
    Yu W; Kim JK; Park T
    Stat Sin; 2018 Oct; 28(4):2149-2166. PubMed ID: 31367164
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A fast Monte Carlo EM algorithm for estimation in latent class model analysis with an application to assess diagnostic accuracy for cervical neoplasia in women with AGC.
    Kang L; Carter R; Darcy K; Kauderer J; Liao SY
    J Appl Stat; 2013; 40(12):2699-2719. PubMed ID: 24163493
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian nonparametric estimation of ROC surface under verification bias.
    Zhu R; Ghosal S
    Stat Med; 2019 Aug; 38(18):3361-3377. PubMed ID: 31049998
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Easy and accurate variance estimation of the nonparametric estimator of the partial area under the ROC curve and its application.
    Yu J; Yang L; Vexler A; Hutson AD
    Stat Med; 2016 Jun; 35(13):2251-82. PubMed ID: 26790540
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the use of min-max combination of biomarkers to maximize the partial area under the ROC curve.
    Ma H; Halabi S; Liu A
    J Probab Stat; 2019; 2019():. PubMed ID: 31057627
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Joint confidence region estimation for area under ROC curve and Youden index.
    Yin J; Tian L
    Stat Med; 2014 Mar; 33(6):985-1000. PubMed ID: 24123069
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.