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]