BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

125 related articles for article (PubMed ID: 37179756)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Semiparametric analysis of survival data with left truncation and dependent right censoring.
    Jiang H; Fine JP; Chappell R
    Biometrics; 2005 Jun; 61(2):567-75. PubMed ID: 16011706
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Nonparametric estimation of the survival distribution under covariate-induced dependent truncation.
    Vakulenko-Lagun B; Qian J; Chiou SH; Wang N; Betensky RA
    Biometrics; 2022 Dec; 78(4):1390-1401. PubMed ID: 34389985
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. Computationally simple estimation and improved efficiency for special cases of double truncation.
    Austin MD; Simon DK; Betensky RA
    Lifetime Data Anal; 2014 Jul; 20(3):335-54. PubMed ID: 24347050
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Cox regression model with doubly truncated data.
    Rennert L; Xie SX
    Biometrics; 2018 Jun; 74(2):725-733. PubMed ID: 29073330
    [TBL] [Abstract][Full Text] [Related]  

  • 15. On hazard ratio estimators by proportional hazards models in matched-pair cohort studies.
    Shinozaki T; Mansournia MA; Matsuyama Y
    Emerg Themes Epidemiol; 2017; 14():6. PubMed ID: 28592984
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Cox regression model under dependent truncation.
    Rennert L; Xie SX
    Biometrics; 2022 Jun; 78(2):460-473. PubMed ID: 33687064
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimation in a competing risks proportional hazards model under length-biased sampling with censoring.
    Dauxois JY; Guilloux A; Kirmani SN
    Lifetime Data Anal; 2014 Apr; 20(2):276-302. PubMed ID: 23456312
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling.
    He Y; Zhou Y
    Lifetime Data Anal; 2020 Oct; 26(4):761-788. PubMed ID: 32300909
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating time-dependent ROC curves using data under prevalent sampling.
    Li S
    Stat Med; 2017 Apr; 36(8):1285-1301. PubMed ID: 27891650
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Self-Consistent Nonparametric Maximum Likelihood Estimator of the Bivariate Survivor Function.
    Prentice RL
    Biometrika; 2014 Sep; 101(3):505-518. PubMed ID: 25632162
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.