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: 27449506)

  • 1. Joint analysis of panel count data with an informative observation process and a dependent terminal event.
    Zhou J; Zhang H; Sun L; Sun J
    Lifetime Data Anal; 2017 Oct; 23(4):560-584. PubMed ID: 27449506
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An additive-multiplicative rates model for recurrent event data with informative terminal event.
    Sun L; Kang F
    Lifetime Data Anal; 2013 Jan; 19(1):117-37. PubMed ID: 22965680
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Monotone spline-based least squares estimation for panel count data with informative observation times.
    Deng S; Liu L; Zhao X
    Biom J; 2015 Sep; 57(5):743-65. PubMed ID: 26095984
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A flexible semiparametric transformation model for recurrent event data.
    Dong L; Sun L
    Lifetime Data Anal; 2015 Jan; 21(1):20-41. PubMed ID: 24241908
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Semiparametric transformation models for panel count data with correlated observation and follow-up times.
    Li N; Zhao H; Sun J
    Stat Med; 2013 Jul; 32(17):3039-54. PubMed ID: 23297190
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Time-varying latent effect model for longitudinal data with informative observation times.
    Cai N; Lu W; Zhang HH
    Biometrics; 2012 Dec; 68(4):1093-102. PubMed ID: 23025338
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semiparametric analysis of panel count data with correlated observation and follow-up times.
    He X; Tong X; Sun J
    Lifetime Data Anal; 2009 Jun; 15(2):177-96. PubMed ID: 19082711
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semiparametric transformation models with time-varying coefficients for recurrent and terminal events.
    Zhao X; Zhou J; Sun L
    Biometrics; 2011 Jun; 67(2):404-14. PubMed ID: 20618309
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Regression analysis of longitudinal data with correlated censoring and observation times.
    Li Y; He X; Wang H; Sun J
    Lifetime Data Anal; 2016 Jul; 22(3):343-62. PubMed ID: 26122093
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Regression analysis of panel count data with dependent observation times.
    Sun J; Tong X; He X
    Biometrics; 2007 Dec; 63(4):1053-9. PubMed ID: 18078478
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Regression analysis of mixed panel count data with dependent terminal events.
    Yu G; Zhu L; Li Y; Sun J; Robison LL
    Stat Med; 2017 May; 36(10):1669-1680. PubMed ID: 28098397
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A semiparametric additive rates model for the weighted composite endpoint of recurrent and terminal events.
    Sun X; Ding J; Sun L
    Lifetime Data Anal; 2020 Jul; 26(3):471-492. PubMed ID: 31549283
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Panel count data regression with informative observation times.
    Buzkova P
    Int J Biostat; 2010; 6(1):Article 30. PubMed ID: 21969983
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust estimation for panel count data with informative observation times and censoring times.
    Jiang H; Su W; Zhao X
    Lifetime Data Anal; 2020 Jan; 26(1):65-84. PubMed ID: 30542803
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nonparametric comparison for panel count data with unequal observation processes.
    Zhao X; Sun J
    Biometrics; 2011 Sep; 67(3):770-9. PubMed ID: 21114659
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Joint modeling and analysis of longitudinal data with informative observation times.
    Liang Y; Lu W; Ying Z
    Biometrics; 2009 Jun; 65(2):377-84. PubMed ID: 18759841
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sieve estimation in semiparametric modeling of longitudinal data with informative observation times.
    Zhao X; Deng S; Liu L; Liu L
    Biostatistics; 2014 Jan; 15(1):140-53. PubMed ID: 24085596
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Semiparametric frailty models for zero-inflated event count data in the presence of informative dropout.
    Diao G; Zeng D; Hu K; Ibrahim JG
    Biometrics; 2019 Dec; 75(4):1168-1178. PubMed ID: 31106400
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Fitting semiparametric regressions for panel count survival data with an R package spef.
    Wang X; Yan J
    Comput Methods Programs Biomed; 2011 Nov; 104(2):278-85. PubMed ID: 21208681
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Regression analysis of mixed recurrent-event and panel-count data with additive rate models.
    Zhu L; Zhao H; Sun J; Leisenring W; Robison LL
    Biometrics; 2015 Mar; 71(1):71-79. PubMed ID: 25345405
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.