BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

146 related articles for article (PubMed ID: 23926445)

  • 21. Conditional maximum likelihood estimation in semiparametric transformation model with LTRC data.
    Chen CM; Shen PS
    Lifetime Data Anal; 2018 Apr; 24(2):250-272. PubMed ID: 28168333
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Change point detection in Cox proportional hazards mixture cure model.
    Wang B; Li J; Wang X
    Stat Methods Med Res; 2021 Feb; 30(2):440-457. PubMed ID: 32970523
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Maximum likelihood estimation of semiparametric mixture component models for competing risks data.
    Choi S; Huang X
    Biometrics; 2014 Sep; 70(3):588-98. PubMed ID: 24734912
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Efficient Estimation for Semiparametric Structural Equation Models With Censored Data.
    Wong KY; Zeng D; Lin DY
    J Am Stat Assoc; 2018; 113(522):893-905. PubMed ID: 30083023
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Joint analysis of longitudinal measurements and survival times with a cure fraction based on partly linear mixed and semiparametric cure models.
    Yang L; Song H; Peng Y; Tu D
    Pharm Stat; 2021 Mar; 20(2):362-374. PubMed ID: 33225606
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Semiparametric Efficient Estimation for a Class of Generalized Proportional Odds Cure Models.
    Mao M; Wang JL
    J Am Stat Assoc; 2010; 105(489):302-311. PubMed ID: 22865944
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Approximate nonparametric corrected-score method for joint modeling of survival and longitudinal data measured with error.
    Tapsoba JD; Lee SM; Wang CY
    Biom J; 2011 Jul; 53(4):557-77. PubMed ID: 21717494
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Semiparametric accelerated failure time cure rate mixture models with competing risks.
    Choi S; Zhu L; Huang X
    Stat Med; 2018 Jan; 37(1):48-59. PubMed ID: 28983935
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Maximum Likelihood Estimations and EM Algorithms with Length-biased Data.
    Qin J; Ning J; Liu H; Shen Y
    J Am Stat Assoc; 2011 Dec; 106(496):1434-1449. PubMed ID: 22323840
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An adjustment to improve the bivariate survivor function repaired NPMLE.
    Moodie FZ; Prentic RL
    Lifetime Data Anal; 2005 Sep; 11(3):291-307. PubMed ID: 16133881
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Semiparametric transformation models for causal inference in time to event studies with all-or-nothing compliance.
    Yu W; Chen K; Sobel ME; Ying Z
    J R Stat Soc Series B Stat Methodol; 2015 Mar; 77(2):397-415. PubMed ID: 25870521
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome.
    Diao G; Zeng D; Hu K; Ibrahim JG
    Stat Med; 2017 Sep; 36(22):3475-3494. PubMed ID: 28560768
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Maximum likelihood estimation for semiparametric density ratio model.
    Diao G; Ning J; Qin J
    Int J Biostat; 2012 Jun; 8(1):. PubMed ID: 22745024
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Estimating the survival function based on the semi-Markov model for dependent censoring.
    Zhao Z; Zheng M; Jin Z
    Lifetime Data Anal; 2016 Apr; 22(2):161-90. PubMed ID: 25772373
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A general class of semiparametric transformation frailty models for nonproportional hazards survival data.
    Choi S; Huang X
    Biometrics; 2012 Dec; 68(4):1126-35. PubMed ID: 23005582
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A flexible family of transformation cure rate models.
    Koutras MV; Milienos FS
    Stat Med; 2017 Jul; 36(16):2559-2575. PubMed ID: 28417477
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models.
    Lam KF; Lee CY; Wong KY; Bandyopadhyay D
    Stat Med; 2021 May; 40(10):2400-2412. PubMed ID: 33586218
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A class of semiparametric transformation models for survival data with a cured proportion.
    Choi S; Huang X; Chen YH
    Lifetime Data Anal; 2014 Jul; 20(3):369-86. PubMed ID: 23760878
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Attributable fraction functions for censored event times.
    Chen L; Lin DY; Zeng D
    Biometrika; 2010 Sep; 97(3):713-726. PubMed ID: 23956459
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Standard error estimation using the EM algorithm for the joint modeling of survival and longitudinal data.
    Xu C; Baines PD; Wang JL
    Biostatistics; 2014 Oct; 15(4):731-44. PubMed ID: 24771699
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.