158 related articles for article (PubMed ID: 37149514)
1. Improving marginal hazard ratio estimation using quadratic inference functions.
Liang H; Wang X; Peng Y; Niu Y
Lifetime Data Anal; 2023 Oct; 29(4):823-853. PubMed ID: 37149514
[TBL] [Abstract][Full Text] [Related]
2. Variable selection via penalized generalized estimating equations for a marginal survival model.
Niu Y; Wang X; Cao H; Peng Y
Stat Methods Med Res; 2020 Sep; 29(9):2493-2506. PubMed ID: 31994449
[TBL] [Abstract][Full Text] [Related]
3. Combined estimating equation approaches for the additive hazards model with left-truncated and interval-censored data.
Lu T; Li S; Sun L
Lifetime Data Anal; 2023 Jul; 29(3):672-697. PubMed ID: 36959395
[TBL] [Abstract][Full Text] [Related]
4. A readily available improvement over method of moments for intra-cluster correlation estimation in the context of cluster randomized trials and fitting a GEE-type marginal model for binary outcomes.
Westgate PM
Clin Trials; 2019 Feb; 16(1):41-51. PubMed ID: 30295512
[TBL] [Abstract][Full Text] [Related]
5. Proportional hazards regression for the analysis of clustered survival data from case-cohort studies.
Zhang H; Schaubel DE; Kalbfleisch JD
Biometrics; 2011 Mar; 67(1):18-28. PubMed ID: 20560939
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Variance estimation in inverse probability weighted Cox models.
Shu D; Young JG; Toh S; Wang R
Biometrics; 2021 Sep; 77(3):1101-1117. PubMed ID: 32662087
[TBL] [Abstract][Full Text] [Related]
8. A note on the estimation and inference with quadratic inference functions for correlated outcomes.
Yu H; Tong G; Li F
Commun Stat Simul Comput; 2022; 51(11):6525-6536. PubMed ID: 36568127
[TBL] [Abstract][Full Text] [Related]
9. Weighted estimating equations for linear regression analysis of clustered failure time data.
Gray RJ
Lifetime Data Anal; 2003 Jun; 9(2):123-38. PubMed ID: 12735492
[TBL] [Abstract][Full Text] [Related]
10. Semiparametric estimation of restricted mean survival time as a function of restriction time.
Bai F; Yang X
Stat Med; 2023 Dec; 42(29):5389-5404. PubMed ID: 37737510
[TBL] [Abstract][Full Text] [Related]
11. Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data.
He B; Liu Y; Wu Y; Zhao X
Lifetime Data Anal; 2020 Oct; 26(4):708-730. PubMed ID: 32157479
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Semiparametric regression and risk prediction with competing risks data under missing cause of failure.
Bakoyannis G; Zhang Y; Yiannoutsos CT
Lifetime Data Anal; 2020 Oct; 26(4):659-684. PubMed ID: 31982977
[TBL] [Abstract][Full Text] [Related]
14. A semiparametric marginal mixture cure model for clustered survival data.
Niu Y; Peng Y
Stat Med; 2013 Jun; 32(14):2364-73. PubMed ID: 23203908
[TBL] [Abstract][Full Text] [Related]
15. A marginal regression model for multivariate failure time data with a surviving fraction.
Peng Y; Taylor JM; Yu B
Lifetime Data Anal; 2007 Sep; 13(3):351-69. PubMed ID: 17641970
[TBL] [Abstract][Full Text] [Related]
16. Semiparametric regression based on quadratic inference function for multivariate failure time data with auxiliary information.
Yan F; Zhu L; Liu Y; Cai J; Zhou H
Lifetime Data Anal; 2021 Apr; 27(2):269-299. PubMed ID: 33420545
[TBL] [Abstract][Full Text] [Related]
17. Marginal semiparametric multivariate accelerated failure time model with generalized estimating equations.
Chiou SH; Kang S; Kim J; Yan J
Lifetime Data Anal; 2014 Oct; 20(4):599-618. PubMed ID: 24549607
[TBL] [Abstract][Full Text] [Related]
18. New methods for the additive hazards model with the informatively interval-censored failure time data.
Zhao B; Wang S; Wang C; Sun J
Biom J; 2021 Oct; 63(7):1507-1525. PubMed ID: 34216403
[TBL] [Abstract][Full Text] [Related]
19. Marginal proportional hazards models for clustered interval-censored data with time-dependent covariates.
Cook K; Lu W; Wang R
Biometrics; 2023 Sep; 79(3):1670-1685. PubMed ID: 36314377
[TBL] [Abstract][Full Text] [Related]
20. Robust and efficient estimation in the parametric proportional hazards model under random censoring.
Ghosh A; Basu A
Stat Med; 2019 Nov; 38(27):5283-5299. PubMed ID: 31660630
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
