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 *

175 related articles for article (PubMed ID: 34820722)

  • 1. An additive hazards frailty model with semi-varying coefficients.
    Zhang Z; Wang X; Peng Y
    Lifetime Data Anal; 2022 Jan; 28(1):116-138. PubMed ID: 34820722
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A flexible class of generalized joint frailty models for the analysis of survival endpoints.
    Chauvet J; Rondeau V
    Stat Med; 2023 Apr; 42(8):1233-1262. PubMed ID: 36775273
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Additive transformation models for clustered failure time data.
    Zeng D; Cai J
    Lifetime Data Anal; 2010 Jul; 16(3):333-52. PubMed ID: 20012358
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nonproportional hazards and unobserved heterogeneity in clustered survival data: When can we tell the difference?
    Balan TA; Putter H
    Stat Med; 2019 Aug; 38(18):3405-3420. PubMed ID: 31050028
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Variable selection via penalized generalized estimating equations for a marginal survival model.
    Niu Y; Wang X; Cao H; Peng Y
    Stat Methods Med Res; 2020 Sep; 29(9):2493-2506. PubMed ID: 31994449
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Additive mixed effect model for recurrent gap time data.
    Ding J; Sun L
    Lifetime Data Anal; 2017 Apr; 23(2):223-253. PubMed ID: 26296808
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Analysis of two-phase sampling data with semiparametric additive hazards models.
    Sun Y; Qian X; Shou Q; Gilbert PB
    Lifetime Data Anal; 2017 Jul; 23(3):377-399. PubMed ID: 26995733
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A positive stable frailty model for clustered failure time data with covariate-dependent frailty.
    Liu D; Kalbfleisch JD; Schaubel DE
    Biometrics; 2011 Mar; 67(1):8-17. PubMed ID: 20528861
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Additive hazards model with time-varying coefficients and imaging predictors.
    Yang Q; Wang C; He H; Zhou X; Song X
    Stat Methods Med Res; 2023 Feb; 32(2):353-372. PubMed ID: 36451621
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Time-varying coefficient additive hazards model with latent variables.
    Yang Q; He H; Song X
    Stat Methods Med Res; 2022 May; 31(5):928-946. PubMed ID: 35073219
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cox regression can be collapsible and Aalen regression can be non-collapsible.
    Samuelsen SO
    Lifetime Data Anal; 2023 Apr; 29(2):403-419. PubMed ID: 36271175
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Time-varying coefficients in a multivariate frailty model: Application to breast cancer recurrences of several types and death.
    Mazroui Y; Mauguen A; Mathoulin-Pélissier S; MacGrogan G; Brouste V; Rondeau V
    Lifetime Data Anal; 2016 Apr; 22(2):191-215. PubMed ID: 25944225
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Joint modeling of generalized scale-change models for recurrent event and failure time data.
    Wang X; Sun L
    Lifetime Data Anal; 2023 Jan; 29(1):1-33. PubMed ID: 36066694
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A semiparametric Cox-Aalen transformation model with censored data.
    Ning X; Pan Y; Sun Y; Gilbert PB
    Biometrics; 2023 Dec; 79(4):3111-3125. PubMed ID: 37403227
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Semiparametric frailty models for clustered failure time data.
    Yu Z; Lin X; Tu W
    Biometrics; 2012 Jun; 68(2):429-36. PubMed ID: 22070739
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Additive mixed effect model for clustered failure time data.
    Cai J; Zeng D
    Biometrics; 2011 Dec; 67(4):1340-51. PubMed ID: 21418052
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of statistical methods for the analysis of recurrent adverse events in the presence of non-proportional hazards and unobserved heterogeneity: a simulation study.
    Patson N; Mukaka M; Kazembe L; Eijkemans MJC; Mathanga D; Laufer MK; Chirwa T
    BMC Med Res Methodol; 2022 Jan; 22(1):24. PubMed ID: 35057743
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Varying coefficient frailty models with applications in single molecular experiments.
    Hung Y; Lin LH; Wu CFJ
    Biometrics; 2022 Jun; 78(2):474-486. PubMed ID: 33630311
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Defective 3-parameter Gompertz model with frailty term for estimating cure fraction in survival data.
    Hajizadeh N; Baghestani AR; Pourhoseingholi MA; Khadem Maboudi AA
    J Biopharm Stat; 2023 Jan; 33(1):90-113. PubMed ID: 35671330
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Proportional hazards model with varying coefficients for length-biased data.
    Zhang F; Chen X; Zhou Y
    Lifetime Data Anal; 2014 Jan; 20(1):132-57. PubMed ID: 23649724
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.