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 *

129 related articles for article (PubMed ID: 32390662)

  • 1. Nonparametric inference on bivariate survival data with interval sampling: association estimation and testing.
    Zhu H; Wang MC
    Biometrika; 2014 Sep; 101(3):519-533. PubMed ID: 32390662
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Analysing bivariate survival data with interval sampling and application to cancer epidemiology.
    Zhu H; Wang MC
    Biometrika; 2012 Jun; 99(2):345-361. PubMed ID: 23843662
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Testing independence of bivariate interval-censored data using modified Kendall's tau statistic.
    Kim Y; Lim J; Park D
    Biom J; 2015 Nov; 57(6):1131-45. PubMed ID: 26372502
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nonparametric analysis of bivariate gap time with competing risks.
    Huang CY; Wang C; Wang MC
    Biometrics; 2016 Sep; 72(3):780-90. PubMed ID: 26990686
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inverse probability of censoring weighted estimates of Kendall's τ for gap time analyses.
    Lakhal-Chaieb L; Cook RJ; Lin X
    Biometrics; 2010 Dec; 66(4):1145-52. PubMed ID: 20337629
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Semi-stationary Copula Model Approach for Bivariate Survival Data with Interval Sampling.
    Zhu H; Wang MC
    Int J Biostat; 2015 May; 11(1):151-73. PubMed ID: 25720090
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Permutation Tests for General Dependent Truncation.
    Chiou SH; Qian J; Mormino E; Betensky RA; ; ;
    Comput Stat Data Anal; 2018 Dec; 128():308-324. PubMed ID: 30613119
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Eliminating bias due to censoring in Kendall's tau estimators for quasi-independence of truncation and failure.
    Austin MD; Betensky RA
    Comput Stat Data Anal; 2014 May; 73():16-26. PubMed ID: 24505164
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Conditional independence test by generalized Kendall's tau with generalized odds ratio.
    Ji S; Ning J; Qin J; Follmann D
    Stat Methods Med Res; 2018 Nov; 27(11):3224-3235. PubMed ID: 29298614
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Serial association analyses of recurrent gap time data via Kendall's tau.
    Fu TC; Su DH; Chang SH
    Biostatistics; 2016 Jan; 17(1):188-202. PubMed ID: 26395906
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dependence estimation over a finite bivariate failure time region.
    Fan J; Hsu L; Prentice RL
    Lifetime Data Anal; 2000 Dec; 6(4):343-55. PubMed ID: 11190604
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Missing Information Principle: A Unified Approach for General Truncated and Censored Survival Data Problems.
    Sun Y; Qin J; Huang CY
    Stat Sci; 2018 May; 33(2):261-276. PubMed ID: 31327890
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Testing conditional multivariate rank correlations: the effect of institutional quality on factors influencing competitiveness.
    Ascorbebeitia J; Ferreira E; Orbe S
    Test (Madr); 2022; 31(4):931-949. PubMed ID: 35382496
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A flexible and robust method for assessing conditional association and conditional concordance.
    Liu X; Ning J; Cheng Y; Huang X; Li R
    Stat Med; 2019 Aug; 38(19):3656-3668. PubMed ID: 31074082
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An extension of Kendall's coefficient of concordance to bivariate interval censored data.
    Betensky RA; Finkelstein DM
    Stat Med; 1999 Nov; 18(22):3101-9. PubMed ID: 10544309
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Nonparametric bounds for the survivor function under general dependent truncation.
    Qian J; Betensky RA
    Scand Stat Theory Appl; 2023 Mar; 50(1):327-357. PubMed ID: 37179756
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nonparametric analysis of doubly truncated and interval-censored data.
    Shen PS
    Stat Methods Med Res; 2022 Jun; 31(6):1157-1170. PubMed ID: 35317692
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Transformation model based regression with dependently truncated and independently censored data.
    Qian J; Chiou SH; Betensky RA
    J R Stat Soc Ser C Appl Stat; 2022 Mar; 71(2):395-416. PubMed ID: 35611001
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A spline-based nonparametric analysis for interval-censored bivariate survival data.
    Wu Y; Zhang Y; Zhou J
    Stat Sin; 2022 Jul; 32(3):1541-1562. PubMed ID: 35795611
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Archimedean copula model selection under dependent truncation.
    Beaudoin D; Lakhal-Chaieb L
    Stat Med; 2008 Sep; 27(22):4440-54. PubMed ID: 18551531
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.