363 related articles for article (PubMed ID: 31982977)
1. 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]
2. Semiparametric marginal regression for clustered competing risks data with missing cause of failure.
Zhou W; Bakoyannis G; Zhang Y; Yiannoutsos CT
Biostatistics; 2023 Jul; 24(3):795-810. PubMed ID: 35411923
[TBL] [Abstract][Full Text] [Related]
3. Analysis of the time-varying Cox model for the cause-specific hazard functions with missing causes.
Heng F; Sun Y; Hyun S; Gilbert PB
Lifetime Data Anal; 2020 Oct; 26(4):731-760. PubMed ID: 32274677
[TBL] [Abstract][Full Text] [Related]
4. Semiparametric regression on cumulative incidence function with interval-censored competing risks data.
Bakoyannis G; Yu M; Yiannoutsos CT
Stat Med; 2017 Oct; 36(23):3683-3707. PubMed ID: 28608412
[TBL] [Abstract][Full Text] [Related]
5. Multiple imputation methods for nonparametric inference on cumulative incidence with missing cause of failure.
Lee M; Dignam JJ; Han J
Stat Med; 2014 Nov; 33(26):4605-26. PubMed ID: 25043107
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Semiparametric competing risks regression under interval censoring using the R package intccr.
Park J; Bakoyannis G; Yiannoutsos CT
Comput Methods Programs Biomed; 2019 May; 173():167-176. PubMed ID: 31046992
[TBL] [Abstract][Full Text] [Related]
8. Semiparametric regression analysis of interval-censored competing risks data.
Mao L; Lin DY; Zeng D
Biometrics; 2017 Sep; 73(3):857-865. PubMed ID: 28211951
[TBL] [Abstract][Full Text] [Related]
9. Comparison between two partial likelihood approaches for the competing risks model with missing cause of failure.
Lu K; Tsiatis AA
Lifetime Data Anal; 2005 Mar; 11(1):29-40. PubMed ID: 15747588
[TBL] [Abstract][Full Text] [Related]
10. Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure.
Moreno-Betancur M; Rey G; Latouche A
Biometrics; 2015 Jun; 71(2):498-507. PubMed ID: 25761785
[TBL] [Abstract][Full Text] [Related]
11. Semiparametric estimation in the proportional hazard model accounting for a misclassified cause of failure.
Ha J; Tsodikov A
Biometrics; 2015 Dec; 71(4):941-9. PubMed ID: 26102346
[TBL] [Abstract][Full Text] [Related]
12. Additive subdistribution hazards regression for competing risks data in case-cohort studies.
Wogu AF; Li H; Zhao S; Nichols HB; Cai J
Biometrics; 2023 Dec; 79(4):3010-3022. PubMed ID: 36606409
[TBL] [Abstract][Full Text] [Related]
13. Proportional hazards model for competing risks data with missing cause of failure.
Hyun S; Lee J; Sun Y
J Stat Plan Inference; 2012 Jul; 142(7):1767-1779. PubMed ID: 22468017
[TBL] [Abstract][Full Text] [Related]
14. Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure.
Lu K; Tsiatis AA
Biometrics; 2001 Dec; 57(4):1191-7. PubMed ID: 11764260
[TBL] [Abstract][Full Text] [Related]
15. Competing risks analysis with missing cause-of-failure-penalized likelihood estimation of cause-specific Cox models.
Lô SN; Ma J; Manuguerra M; Moreno-Betancur M; Scolyer RA; Thompson JF
Stat Methods Med Res; 2022 May; 31(5):978-994. PubMed ID: 35037794
[TBL] [Abstract][Full Text] [Related]
16. A pseudo-likelihood method for estimating misclassification probabilities in competing-risks settings when true-event data are partially observed.
Mpofu PB; Bakoyannis G; Yiannoutsos CT; Mwangi AW; Mburu M
Biom J; 2020 Nov; 62(7):1747-1768. PubMed ID: 32520411
[TBL] [Abstract][Full Text] [Related]
17. A new approach to regression analysis of censored competing-risks data.
Jin Y; Lai TL
Lifetime Data Anal; 2017 Oct; 23(4):605-625. PubMed ID: 27502000
[TBL] [Abstract][Full Text] [Related]
18. Efficient estimation for left-truncated competing risks regression for case-cohort studies.
Fang X; Ahn KW; Cai J; Kim S
Biometrics; 2024 Jan; 80(1):. PubMed ID: 38281769
[TBL] [Abstract][Full Text] [Related]
19. The proportional odds cumulative incidence model for competing risks.
Eriksson F; Li J; Scheike T; Zhang MJ
Biometrics; 2015 Sep; 71(3):687-95. PubMed ID: 26013050
[TBL] [Abstract][Full Text] [Related]
20. Analysis of two-phase sampling data with semiparametric additive hazards models.
Sun Y; Qian X; Shou Q; Gilbert PB
Lifetime Data Anal; 2017 Jul; 23(3):377-399. PubMed ID: 26995733
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]