BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 31957910)

  • 1. Generalized parametric cure models for relative survival.
    Jakobsen LH; Bøgsted M; Clements M
    Biom J; 2020 Jul; 62(4):989-1011. PubMed ID: 31957910
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fitting parametric cure models in R using the packages cuRe and rstpm2.
    Jensen RK; Clements M; Gjærde LK; Jakobsen LH
    Comput Methods Programs Biomed; 2022 Nov; 226():107125. PubMed ID: 36126436
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models.
    Andersson TM; Dickman PW; Eloranta S; Lambert PC
    BMC Med Res Methodol; 2011 Jun; 11():96. PubMed ID: 21696598
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimating and modeling the cure fraction in population-based cancer survival analysis.
    Lambert PC; Thompson JR; Weston CL; Dickman PW
    Biostatistics; 2007 Jul; 8(3):576-94. PubMed ID: 17021277
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cure fraction estimation from the mixture cure models for grouped survival data.
    Yu B; Tiwari RC; Cronin KA; Feuer EJ
    Stat Med; 2004 Jun; 23(11):1733-47. PubMed ID: 15160405
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A SAS macro for parametric and semiparametric mixture cure models.
    Corbière F; Joly P
    Comput Methods Programs Biomed; 2007 Feb; 85(2):173-80. PubMed ID: 17157948
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimating the proportion cured of cancer: some practical advice for users.
    Yu XQ; De Angelis R; Andersson TM; Lambert PC; O'Connell DL; Dickman PW
    Cancer Epidemiol; 2013 Dec; 37(6):836-42. PubMed ID: 24042025
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Causal inference for time-to-event data with a cured subpopulation.
    Wang Y; Deng Y; Zhou XH
    Biometrics; 2024 Mar; 80(2):. PubMed ID: 38708764
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The cure for colon cancer: results from the EUROCARE study.
    Verdecchia A; De Angelis R; Capocaccia R; Sant M; Micheli A; Gatta G; Berrino F
    Int J Cancer; 1998 Jul; 77(3):322-9. PubMed ID: 9663589
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new cure model that corrects for increased risk of non-cancer death: analysis of reliability and robustness, and application to real-life data.
    Botta L; Goungounga J; Capocaccia R; Romain G; Colonna M; Gatta G; Boussari O; Jooste V
    BMC Med Res Methodol; 2023 Mar; 23(1):70. PubMed ID: 36966273
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating the time-dependent predictive accuracy for event-to-time outcome with a cure fraction.
    Wang Z; Wang X
    Pharm Stat; 2020 Nov; 19(6):955-974. PubMed ID: 32776646
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semiparametric transformation models for interval-censored data in the presence of a cure fraction.
    Chen CM; Shen PS; Huang WL
    Biom J; 2019 Jan; 61(1):203-215. PubMed ID: 30474310
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Utilization of a Mixture Cure Rate Model based on the Generalized Modified Weibull Distribution for the Analysis of Leukemia Patients.
    Omer ME; Abu Bakar M; Adam M; Mustafa M
    Asian Pac J Cancer Prev; 2021 Apr; 22(4):1045-1053. PubMed ID: 33906295
    [TBL] [Abstract][Full Text] [Related]  

  • 14. geecure: An R-package for marginal proportional hazards mixture cure models.
    Niu Y; Wang X; Peng Y
    Comput Methods Programs Biomed; 2018 Jul; 161():115-124. PubMed ID: 29852954
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Diagnostic checks in mixture cure models with interval-censoring.
    Scolas S; Legrand C; Oulhaj A; El Ghouch A
    Stat Methods Med Res; 2018 Jul; 27(7):2114-2131. PubMed ID: 27815495
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bias in Mean Survival From Fitting Cure Models With Limited Follow-Up.
    Othus M; Bansal A; Erba H; Ramsey S
    Value Health; 2020 Aug; 23(8):1034-1039. PubMed ID: 32828215
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A nonparametric mixture model for cure rate estimation.
    Peng Y; Dear KB
    Biometrics; 2000 Mar; 56(1):237-43. PubMed ID: 10783801
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CANSURV: A Windows program for population-based cancer survival analysis.
    Yu B; Tiwari RC; Cronin KA; McDonald C; Feuer EJ
    Comput Methods Programs Biomed; 2005 Dec; 80(3):195-203. PubMed ID: 16257080
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of a non-parametric non-mixture cure rate model for analyzing the survival of patients with colorectal cancer in Iran.
    Azizmohammad Looha M; Pourhoseingholi MA; Nasserinejad M; Najafimehr H; Zali MR
    Epidemiol Health; 2018; 40():e2018045. PubMed ID: 30220192
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Modeling clustered long-term survivors using marginal mixture cure model.
    Niu Y; Song L; Liu Y; Peng Y
    Biom J; 2018 Jul; 60(4):780-796. PubMed ID: 29733452
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.