147 related articles for article (PubMed ID: 22468017)
1. 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]
2. 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]
3. 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]
4. Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure.
Qiu Z; Wan ATK; Zhou Y; Gilbert PB
Stat Sin; 2019 Jan; 29(1):23-46. PubMed ID: 30740005
[TBL] [Abstract][Full Text] [Related]
5. Augmented inverse probability weighted estimator for Cox missing covariate regression.
Wang CY; Chen HY
Biometrics; 2001 Jun; 57(2):414-9. PubMed ID: 11414564
[TBL] [Abstract][Full Text] [Related]
6. Quantile Regression for Competing Risks Data with Missing Cause of Failure.
Sun Y; Wang HJ; Gilbert PB
Stat Sin; 2012 Apr; 22(2):703-728. PubMed ID: 23950622
[TBL] [Abstract][Full Text] [Related]
7. Reweighted estimators for additive hazard model with censoring indicators missing at random.
Chen X; Cai J
Lifetime Data Anal; 2018 Apr; 24(2):224-249. PubMed ID: 28766089
[TBL] [Abstract][Full Text] [Related]
8. Vertical modelling: Analysis of competing risks data with missing causes of failure.
Nicolaie MA; van Houwelingen HC; Putter H
Stat Methods Med Res; 2015 Dec; 24(6):891-908. PubMed ID: 22179822
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Semiparametric regression on cumulative incidence function with interval-censored competing risks data and missing event types.
Park J; Bakoyannis G; Zhang Y; Yiannoutsos CT
Biostatistics; 2022 Jul; 23(3):738-753. PubMed ID: 33417707
[TBL] [Abstract][Full Text] [Related]
12. Estimation of conditional cumulative incidence functions under generalized semiparametric regression models with missing covariates, with application to analysis of biomarker correlates in vaccine trials.
Sun Y; Heng F; Lee U; Gilbert PB
Can J Stat; 2023 Mar; 51(1):235-257. PubMed ID: 36937899
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. A comparison of multiple imputation and fully augmented weighted estimators for Cox regression with missing covariates.
Qi L; Wang YF; He Y
Stat Med; 2010 Nov; 29(25):2592-604. PubMed ID: 20806403
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Best linear inverse probability weighted estimation for two-phase designs and missing covariate regression.
Wang CY; Dai J
Stat Med; 2019 Jul; 38(15):2783-2796. PubMed ID: 30908669
[TBL] [Abstract][Full Text] [Related]
17. Augmented weighting estimators for the additive rates model under multivariate recurrent event data with missing event type.
Ma H; Pang W; Sun L; Xu W
Stat Med; 2022 Sep; 41(22):4285-4298. PubMed ID: 35764592
[TBL] [Abstract][Full Text] [Related]
18. Estimation of covariate-specific time-dependent ROC curves in the presence of missing biomarkers.
Li S; Ning Y
Biometrics; 2015 Sep; 71(3):666-76. PubMed ID: 25891918
[TBL] [Abstract][Full Text] [Related]
19. Estimation of Stratified Mark-Specific Proportional Hazards Models with Missing Marks.
Sun Y; Gilbert PB
Scand Stat Theory Appl; 2012 Mar; 39(1):34-52. PubMed ID: 23519918
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
