164 related articles for article (PubMed ID: 24948838)
1. Gamma frailty transformation models for multivariate survival times.
Zeng D; Chen Q; Ibrahim JG
Biometrika; 2009 Jun; 96(2):277-291. PubMed ID: 24948838
[TBL] [Abstract][Full Text] [Related]
2. Analysis of clustered interval-censored data using a class of semiparametric partly linear frailty transformation models.
Lee CY; Wong KY; Lam KF; Xu J
Biometrics; 2022 Mar; 78(1):165-178. PubMed ID: 33140426
[TBL] [Abstract][Full Text] [Related]
3. Semiparametric Maximum Likelihood Estimation in Normal Transformation Models for Bivariate Survival Data.
Li Y; Prentice RL; Lin X
Biometrika; 2008 Dec; 95(4):947-960. PubMed ID: 19079778
[TBL] [Abstract][Full Text] [Related]
4. Maximum likelihood estimation for semiparametric transformation models with interval-censored data.
Zeng D; Mao L; Lin DY
Biometrika; 2016 Jun; 103(2):253-271. PubMed ID: 27279656
[TBL] [Abstract][Full Text] [Related]
5. Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data.
Zeng D; Gao F; Lin DY
Biometrika; 2017 Sep; 104(3):505-525. PubMed ID: 29391606
[TBL] [Abstract][Full Text] [Related]
6. SEMIPARAMETRIC TRANSFORMATION MODELS WITH RANDOM EFFECTS FOR CLUSTERED FAILURE TIME DATA.
Zeng D; Lin DY; Lin X
Stat Sin; 2008 Jan; 18(1):355-377. PubMed ID: 19809573
[TBL] [Abstract][Full Text] [Related]
7. Joint Modeling of Longitudinal and Cure-survival Data.
Kim S; Zeng D; Li Y; Spiegelman D
J Stat Theory Pract; 2013 Apr; 7(2):324-344. PubMed ID: 23926445
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Efficient Estimation of Semiparametric Transformation Models for the Cumulative Incidence of Competing Risks.
Mao L; Lin DY
J R Stat Soc Series B Stat Methodol; 2017 Mar; 79(2):573-587. PubMed ID: 28239261
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Semiparametric transformation models with random effects for joint analysis of recurrent and terminal events.
Zeng D; Lin DY
Biometrics; 2009 Sep; 65(3):746-52. PubMed ID: 18945267
[TBL] [Abstract][Full Text] [Related]
14. A class of semiparametric cure models with current status data.
Diao G; Yuan A
Lifetime Data Anal; 2019 Jan; 25(1):26-51. PubMed ID: 29423775
[TBL] [Abstract][Full Text] [Related]
15. Semiparametric estimation for nonparametric frailty models using nonparametric maximum likelihood approach.
Chee CS; Do Ha I; Seo B; Lee Y
Stat Methods Med Res; 2021 Nov; 30(11):2485-2502. PubMed ID: 34569366
[TBL] [Abstract][Full Text] [Related]
16. Efficient semiparametric estimation of short-term and long-term hazard ratios with right-censored data.
Diao G; Zeng D; Yang S
Biometrics; 2013 Dec; 69(4):840-9. PubMed ID: 24328712
[TBL] [Abstract][Full Text] [Related]
17. Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event.
Kim S; Zeng D; Chambless L; Li Y
Stat Biosci; 2012 Nov; 4(2):262-281. PubMed ID: 23227131
[TBL] [Abstract][Full Text] [Related]
18. Semiparametric frailty models for zero-inflated event count data in the presence of informative dropout.
Diao G; Zeng D; Hu K; Ibrahim JG
Biometrics; 2019 Dec; 75(4):1168-1178. PubMed ID: 31106400
[TBL] [Abstract][Full Text] [Related]
19. Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies.
Zeng D; Lin DY
J Am Stat Assoc; 2014 Jan; 109(505):371-383. PubMed ID: 24659837
[TBL] [Abstract][Full Text] [Related]
20. Joint semiparametric models for case-cohort designs.
Zhong W; Diao G
Biometrics; 2023 Sep; 79(3):1959-1971. PubMed ID: 35917392
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]