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 *

133 related articles for article (PubMed ID: 32828215)

  • 1. 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]  

  • 2. Accounting for Cured Patients in Cost-Effectiveness Analysis.
    Othus M; Bansal A; Koepl L; Wagner S; Ramsey S
    Value Health; 2017 Apr; 20(4):705-709. PubMed ID: 28408015
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Current estimates of the cure fraction: a feasibility study of statistical cure for breast and colorectal cancer.
    Stedman MR; Feuer EJ; Mariotto AB
    J Natl Cancer Inst Monogr; 2014 Nov; 2014(49):244-54. PubMed ID: 25417238
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Assessing the Performance of Alternative Methods for Estimating Long-Term Survival Benefit of Immuno-oncology Therapies.
    Monnickendam G
    Value Health; 2024 Jun; 27(6):746-754. PubMed ID: 38428815
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Case Study Examining the Usefulness of Cure Modelling for the Prediction of Survival Based on Data Maturity.
    Grant TS; Burns D; Kiff C; Lee D
    Pharmacoeconomics; 2020 Apr; 38(4):385-395. PubMed ID: 31848900
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Cure of cancer for seven cancer sites in the Flemish Region.
    Silversmit G; Jegou D; Vaes E; Van Hoof E; Goetghebeur E; Van Eycken L
    Int J Cancer; 2017 Mar; 140(5):1102-1110. PubMed ID: 27870056
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Practical application of cure mixture model for long-term censored survivor data from a withdrawal clinical trial of patients with major depressive disorder.
    Arano I; Sugimoto T; Hamasaki T; Ohno Y
    BMC Med Res Methodol; 2010 Apr; 10():33. PubMed ID: 20412598
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. RECeUS: Ratio estimation of censored uncured subjects, a different approach for assessing cure model appropriateness in studies with long-term survivors.
    Selukar S; Othus M
    Stat Med; 2023 Feb; 42(3):209-227. PubMed ID: 36433635
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 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. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. Estimating Lifetime Benefits Associated with Immuno-Oncology Therapies: Challenges and Approaches for Overall Survival Extrapolations.
    Ouwens MJNM; Mukhopadhyay P; Zhang Y; Huang M; Latimer N; Briggs A
    Pharmacoeconomics; 2019 Sep; 37(9):1129-1138. PubMed ID: 31102143
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimation method of the semiparametric mixture cure gamma frailty model.
    Peng Y; Zhang J
    Stat Med; 2008 Nov; 27(25):5177-94. PubMed ID: 18613271
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.