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 *

115 related articles for article (PubMed ID: 31396988)

  • 1. On the self-triggering Cox model for recurrent event data.
    Kim JI; Lin FC; Fine JP
    Stat Med; 2019 Sep; 38(22):4240-4252. PubMed ID: 31396988
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A model checking method for the proportional hazards model with recurrent gap time data.
    Huang CY; Luo X; Follmann DA
    Biostatistics; 2011 Jul; 12(3):535-47. PubMed ID: 21138876
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Semiparametric estimation of the proportional rates model for recurrent events data with missing event category.
    Lin FC; Cai J; Fine JP; Dellon EP; Esther CR
    Stat Methods Med Res; 2021 Jul; 30(7):1624-1639. PubMed ID: 34142905
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A systematic comparison of recurrent event models for application to composite endpoints.
    Ozga AK; Kieser M; Rauch G
    BMC Med Res Methodol; 2018 Jan; 18(1):2. PubMed ID: 29301487
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Semiparametric transformation models with random effects for joint analysis of recurrent and terminal events.
    Zeng D; Lin DY
    Biometrics; 2009 Sep; 65(3):746-52. PubMed ID: 18945267
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Parametric latent class joint model for a longitudinal biomarker and recurrent events.
    Han J; Slate EH; Peña EA
    Stat Med; 2007 Dec; 26(29):5285-302. PubMed ID: 17542002
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improved semiparametric estimation of the proportional rate model with recurrent event data.
    Huang MY; Huang CY
    Biometrics; 2023 Sep; 79(3):1686-1700. PubMed ID: 36314379
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Data generation for the Cox proportional hazards model with time-dependent covariates: a method for medical researchers.
    Hendry DJ
    Stat Med; 2014 Feb; 33(3):436-54. PubMed ID: 24014094
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Event-weighted proportional hazards modelling for recurrent gap time data.
    Darlington GA; Dixon SN
    Stat Med; 2013 Jan; 32(1):124-30. PubMed ID: 22825881
    [TBL] [Abstract][Full Text] [Related]  

  • 11. On the use of Cox regression in the presence of an irregularly observed time-dependent covariate.
    de Bruijne MH; le Cessie S; Kluin-Nelemans HC; van Houwelingen HC
    Stat Med; 2001 Dec; 20(24):3817-29. PubMed ID: 11782036
    [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. Case-cohort analysis of clusters of recurrent events.
    Chen F; Chen K
    Lifetime Data Anal; 2014 Jan; 20(1):1-15. PubMed ID: 23832308
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Joint modeling of recurrent events and a terminal event adjusted for zero inflation and a matched design.
    Xu C; Chinchilli VM; Wang M
    Stat Med; 2018 Aug; 37(18):2771-2786. PubMed ID: 29682772
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of Time-to-First Event and Recurrent-Event Methods in Randomized Clinical Trials.
    Claggett B; Pocock S; Wei LJ; Pfeffer MA; McMurray JJV; Solomon SD
    Circulation; 2018 Aug; 138(6):570-577. PubMed ID: 29588314
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Shared parameter models for joint analysis of longitudinal and survival data with left truncation due to delayed entry - Applications to cystic fibrosis.
    Schluchter MD; Piccorelli AV
    Stat Methods Med Res; 2019 May; 28(5):1489-1507. PubMed ID: 29618290
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Are non-constant rates and non-proportional treatment effects accounted for in the design and analysis of randomised controlled trials? A review of current practice.
    Jachno K; Heritier S; Wolfe R
    BMC Med Res Methodol; 2019 May; 19(1):103. PubMed ID: 31096924
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Recurrent events and the exploding Cox model.
    Gjessing HK; Røysland K; Pena EA; Aalen OO
    Lifetime Data Anal; 2010 Oct; 16(4):525-46. PubMed ID: 20625827
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Multilevel model with random effects for clustered survival data with multiple failure outcomes.
    Tawiah R; Yau KKW; McLachlan GJ; Chambers SK; Ng SK
    Stat Med; 2019 Mar; 38(6):1036-1055. PubMed ID: 30474216
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.