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 *

146 related articles for article (PubMed ID: 24505164)

  • 1. 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]  

  • 2. Transformation model estimation of survival under dependent truncation and independent censoring.
    Chiou SH; Austin MD; Qian J; Betensky RA
    Stat Methods Med Res; 2019 Dec; 28(12):3785-3798. PubMed ID: 30543153
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Conditional Independence Test of Failure and Truncation Times: Essential Tool for Method Selection.
    Ning J; Pak D; Zhu H; Qin J
    Comput Stat Data Anal; 2022 Apr; 168():. PubMed ID: 34898770
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Nonidentifiability in the presence of factorization for truncated data.
    Vakulenko-Lagun B; Qian J; Chiou SH; Betensky RA
    Biometrika; 2019 Sep; 106(3):724-731. PubMed ID: 31427826
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. On Inference for Kendall's τ within a Longitudinal Data Setting.
    Ma Y
    J Appl Stat; 2012 Dec; 39(1):2441-2452. PubMed ID: 23554542
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. On the association between variables with lower detection limits.
    Romdhani H; Lakhal-Chaieb L
    Stat Med; 2011 Nov; 30(26):3137-48. PubMed ID: 21898520
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Nonparametric and semiparametric estimation with sequentially truncated survival data.
    Betensky RA; Qian J; Hou J
    Biometrics; 2023 Jun; 79(2):1000-1013. PubMed ID: 35426133
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Methods for testing the Markov condition in the illness-death model: a comparative study.
    Rodríguez-Girondo M; Uña-Álvarez Jd
    Stat Med; 2016 Sep; 35(20):3549-62. PubMed ID: 26990971
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Interaction screening by Kendall's partial correlation for ultrahigh-dimensional data with survival trait.
    Wang JH; Chen YH
    Bioinformatics; 2020 May; 36(9):2763-2769. PubMed ID: 31926011
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Correcting for dependent censoring in routine outcome monitoring data by applying the inverse probability censoring weighted estimator.
    Willems S; Schat A; van Noorden MS; Fiocco M
    Stat Methods Med Res; 2018 Feb; 27(2):323-335. PubMed ID: 26988930
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Network-adjusted Kendall's Tau Measure for Feature Screening with Application to High-dimensional Survival Genomic Data.
    Wang JH; Chen YH
    Bioinformatics; 2021 Aug; 37(15):2150-2156. PubMed ID: 33595070
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.