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 *

130 related articles for article (PubMed ID: 21833853)

  • 1. Regression analysis for cumulative incidence probability under competing risks and left-truncated sampling.
    Shen PS
    Lifetime Data Anal; 2012 Jan; 18(1):1-18. PubMed ID: 21833853
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Regression modeling of restricted mean survival time for left-truncated right-censored data.
    Rong R; Ning J; Zhu H
    Stat Med; 2022 Jul; 41(16):3003-3021. PubMed ID: 35708238
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A new flexible dependence measure for semi-competing risks.
    Yang J; Peng L
    Biometrics; 2016 Sep; 72(3):770-9. PubMed ID: 26916804
    [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. Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring.
    Geskus RB
    Biometrics; 2011 Mar; 67(1):39-49. PubMed ID: 20377575
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Efficient estimation for left-truncated competing risks regression for case-cohort studies.
    Fang X; Ahn KW; Cai J; Kim S
    Biometrics; 2024 Jan; 80(1):. PubMed ID: 38281769
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A note on variance estimation of the Aalen-Johansen estimator of the cumulative incidence function in competing risks, with a view towards left-truncated data.
    Allignol A; Schumacher M; Beyersmann J
    Biom J; 2010 Feb; 52(1):126-37. PubMed ID: 20140901
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data.
    Ding AA; Hsieh JJ; Wang W
    Lifetime Data Anal; 2015 Jan; 21(1):42-74. PubMed ID: 24323067
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A proportional hazards regression model for the subdistribution with right-censored and left-truncated competing risks data.
    Zhang X; Zhang MJ; Fine J
    Stat Med; 2011 Jul; 30(16):1933-51. PubMed ID: 21557288
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A kernel nonparametric quantile estimator for right-censored competing risks data.
    Fan C; Ding G; Zhang F
    J Appl Stat; 2020; 47(1):61-75. PubMed ID: 35707603
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Maximum likelihood estimation of semiparametric mixture component models for competing risks data.
    Choi S; Huang X
    Biometrics; 2014 Sep; 70(3):588-98. PubMed ID: 24734912
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Nonparametric association analysis of bivariate left-truncated competing risks data.
    Cheng Y; Shen PS; Zhang Z; Lai HJ
    Biom J; 2016 May; 58(3):635-51. PubMed ID: 26547058
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating cumulative incidence functions in competing risks data with dependent left-truncation.
    Stegherr R; Allignol A; Meister R; Schaefer C; Beyersmann J
    Stat Med; 2020 Feb; 39(4):481-493. PubMed ID: 31788835
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Semiparametric analysis of mixture regression models with competing risks data.
    Lu W; Peng L
    Lifetime Data Anal; 2008 Sep; 14(3):231-52. PubMed ID: 18193354
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Semiparametric competing risks regression under interval censoring using the R package intccr.
    Park J; Bakoyannis G; Yiannoutsos CT
    Comput Methods Programs Biomed; 2019 May; 173():167-176. PubMed ID: 31046992
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A quantile regression model for failure-time data with time-dependent covariates.
    Gorfine M; Goldberg Y; Ritov Y
    Biostatistics; 2017 Jan; 18(1):132-146. PubMed ID: 27485534
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dynamic prediction of cumulative incidence functions by direct binomial regression.
    Grand MK; de Witte TJM; Putter H
    Biom J; 2018 Jul; 60(4):734-747. PubMed ID: 29577376
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Competing risks regression for clustered data.
    Zhou B; Fine J; Latouche A; Labopin M
    Biostatistics; 2012 Jul; 13(3):371-83. PubMed ID: 22045910
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.