BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 38252651)

  • 1. Comparison performance of the Bayesian Approach with the Weibull and Birnbaum-Saunders distributions in imputation of time-to-event censors.
    Shahmirzalou P; Rasekhi A; Jafari Khaledi M; Khayamzadeh M
    PLoS One; 2024; 19(1):e0295977. PubMed ID: 38252651
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian inference of the Weibull model based on interval-censored survival data.
    Guure CB; Ibrahim NA; Adam MB
    Comput Math Methods Med; 2013; 2013():849520. PubMed ID: 23476718
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Statistical simulations to evaluate the methods of the construction of injury risk curves.
    Petitjean A; Trosseille X
    Stapp Car Crash J; 2011 Nov; 55():411-40. PubMed ID: 22869316
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Statistical estimates from black non-Hispanic female breast cancer data.
    Khan HM; Ibrahimou B; Saxena A; Gabbidon K; Abdool-Ghany F; Ramamoorthy V; Ullah D; Stewart TS
    Asian Pac J Cancer Prev; 2014; 15(19):8371-6. PubMed ID: 25339031
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison Cure Rate Models by DIC Criteria in Breast Cancer Data.
    Baghestani AR; Shahmirzalou P; Sayad S; Akbari ME; Zayeri F
    Asian Pac J Cancer Prev; 2018 Jun; 19(6):1601-1606. PubMed ID: 29936785
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of methods for handling censored records in beef fertility data: simulation study.
    Donoghue KA; Rekaya R; Bertrand JK
    J Anim Sci; 2004 Feb; 82(2):351-6. PubMed ID: 14974530
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A partial imputation EM-algorithm to adjust the overestimated shape parameter of the Weibull distribution fitted to the clinical time-to-event data.
    Choi K; Park SM; Han S; Yim DS
    Comput Methods Programs Biomed; 2020 Dec; 197():105697. PubMed ID: 32798978
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Impact of censoring on learning Bayesian networks in survival modelling.
    Stajduhar I; Dalbelo-Basić B; Bogunović N
    Artif Intell Med; 2009 Nov; 47(3):199-217. PubMed ID: 19833488
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian nonparametric inference on quantile residual life function: Application to breast cancer data.
    Park T; Jeong JH; Lee JW
    Stat Med; 2012 Aug; 31(18):1972-85. PubMed ID: 22437758
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The lifetime analysis of the Weibull model based on Generalized Type-I progressive hybrid censoring schemes.
    Nagy M; Alrasheedi AF
    Math Biosci Eng; 2022 Jan; 19(3):2330-2354. PubMed ID: 35240787
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Nonparametric comparison of two survival functions with dependent censoring via nonparametric multiple imputation.
    Hsu CH; Taylor JM
    Stat Med; 2009 Feb; 28(3):462-75. PubMed ID: 18991250
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applicability of modified weibull extension distribution in modeling censored medical datasets: a bayesian perspective.
    Feroze N; Tahir U; Noor-Ul-Amin M; Nisar KS; Alqahtani MS; Abbas M; Ali R; Jirawattanapanit A
    Sci Rep; 2022 Oct; 12(1):17157. PubMed ID: 36229626
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Factors Affecting Long-Survival of Patients with Breast Cancer by Non-Mixture and Mixture Cure Models Using the Weibull, Log-logistic and Dagum Distributions: A Bayesian Approach.
    Rafati S; Baneshi MR; Bahrampour A
    Asian Pac J Cancer Prev; 2020 Feb; 21(2):485-490. PubMed ID: 32102528
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluating Left-Censored Data Through Substitution, Parametric, Semi-parametric, and Nonparametric Methods: A Simulation Study.
    Tekindal MA; Erdoğan BD; Yavuz Y
    Interdiscip Sci; 2017 Jun; 9(2):153-172. PubMed ID: 26590921
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using cure models and multiple imputation to utilize recurrence as an auxiliary variable for overall survival.
    Conlon AS; Taylor JM; Sargent DJ; Yothers G
    Clin Trials; 2011 Oct; 8(5):581-90. PubMed ID: 21921063
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accelerated test system strength models based on Birnbaum-Saunders distribution: a complete Bayesian analysis and comparison.
    Upadhyay SK; Mukherjee B; Gupta A
    Lifetime Data Anal; 2009 Sep; 15(3):379-96. PubMed ID: 19255842
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Survival analysis using auxiliary variables via non-parametric multiple imputation.
    Hsu CH; Taylor JM; Murray S; Commenges D
    Stat Med; 2006 Oct; 25(20):3503-17. PubMed ID: 16345047
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A two-sample test with interval censored data via multiple imputation.
    Pan W
    Stat Med; 2000 Jan; 19(1):1-11. PubMed ID: 10623909
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Birnbaum Saunders distribution for imprecise data: statistical properties, estimation methods, and real life applications.
    Hassan MK; Aslam M
    Sci Rep; 2024 Mar; 14(1):6955. PubMed ID: 38521823
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimations of competing lifetime data from inverse Weibull distribution under adaptive progressively hybrid censored.
    Azm WSAE; Aldallal R; Aljohani HM; Nassr SG
    Math Biosci Eng; 2022 Apr; 19(6):6252-6275. PubMed ID: 35603400
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.