181 related articles for article (PubMed ID: 31814158)
1. Assessing predictive accuracy of survival regressions subject to nonindependent censoring.
Wang M; Long Q; Chen C; Zhang L
Stat Med; 2020 Feb; 39(4):469-480. PubMed ID: 31814158
[TBL] [Abstract][Full Text] [Related]
2. Addressing issues associated with evaluating prediction models for survival endpoints based on the concordance statistic.
Wang M; Long Q
Biometrics; 2016 Sep; 72(3):897-906. PubMed ID: 26756274
[TBL] [Abstract][Full Text] [Related]
3. Two-stage estimation to adjust for treatment switching in randomised trials: a simulation study investigating the use of inverse probability weighting instead of re-censoring.
Latimer NR; Abrams KR; Siebert U
BMC Med Res Methodol; 2019 Mar; 19(1):69. PubMed ID: 30935369
[TBL] [Abstract][Full Text] [Related]
4. Correcting for dependent censoring in routine outcome monitoring data by applying the inverse probability censoring weighted estimator.
Willems S; Schat A; van Noorden MS; Fiocco M
Stat Methods Med Res; 2018 Feb; 27(2):323-335. PubMed ID: 26988930
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Analysis of accelerated failure time data with dependent censoring using auxiliary variables via nonparametric multiple imputation.
Hsu CH; Taylor JM; Hu C
Stat Med; 2015 Aug; 34(19):2768-80. PubMed ID: 25999295
[TBL] [Abstract][Full Text] [Related]
7. Regression with a right-censored predictor using inverse probability weighting methods.
Matsouaka RA; Atem FD
Stat Med; 2020 Nov; 39(27):4001-4015. PubMed ID: 32779274
[TBL] [Abstract][Full Text] [Related]
8. Model selection for survival individualized treatment rules using the jackknife estimator.
Honvoh GD; Cho H; Kosorok MR
BMC Med Res Methodol; 2022 Dec; 22(1):328. PubMed ID: 36550398
[TBL] [Abstract][Full Text] [Related]
9. Regression analysis of multivariate interval-censored failure time data with informative censoring.
Yu M; Feng Y; Duan R; Sun J
Stat Methods Med Res; 2022 Mar; 31(3):391-403. PubMed ID: 34878352
[TBL] [Abstract][Full Text] [Related]
10. The net benefit for time-to-event outcome in oncology clinical trials with treatment switching.
Fukuda M; Sakamaki K; Oba K
Clin Trials; 2023 Dec; 20(6):670-680. PubMed ID: 37455538
[TBL] [Abstract][Full Text] [Related]
11. Variable selection using inverse probability of censoring weighting.
Kojima M
Stat Methods Med Res; 2023 Nov; 32(11):2184-2206. PubMed ID: 37675496
[TBL] [Abstract][Full Text] [Related]
12. Regression modeling of restricted mean survival time for left-truncated right-censored data.
Rong R; Ning J; Zhu H
Stat Med; 2022 Jul; 41(16):3003-3021. PubMed ID: 35708238
[TBL] [Abstract][Full Text] [Related]
13. Estimation of integrated transition hazards and stage occupation probabilities for non-Markov systems under dependent censoring.
Datta S; Satten GA
Biometrics; 2002 Dec; 58(4):792-802. PubMed ID: 12495133
[TBL] [Abstract][Full Text] [Related]
14. Regression models for the restricted residual mean life for right-censored and left-truncated data.
Cortese G; Holmboe SA; Scheike TH
Stat Med; 2017 May; 36(11):1803-1822. PubMed ID: 28106926
[TBL] [Abstract][Full Text] [Related]
15. Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring.
Chakladar S; Rosin S; Hudgens MG; Halloran ME; Clemens JD; Ali M; Emch ME
Biometrics; 2022 Jun; 78(2):777-788. PubMed ID: 33768557
[TBL] [Abstract][Full Text] [Related]
16. Regression analysis of case K interval-censored failure time data in the presence of informative censoring.
Wang P; Zhao H; Sun J
Biometrics; 2016 Dec; 72(4):1103-1112. PubMed ID: 27123560
[TBL] [Abstract][Full Text] [Related]
17. Prediction accuracy for the cure probabilities in mixture cure models.
Jiang W; Sun H; Peng Y
Stat Methods Med Res; 2017 Oct; 26(5):2029-2041. PubMed ID: 28523948
[TBL] [Abstract][Full Text] [Related]
18. Imputation methods for informative censoring in survival analysis with time dependent covariates.
Jin M
Contemp Clin Trials; 2024 Jan; 136():107401. PubMed ID: 37995968
[TBL] [Abstract][Full Text] [Related]
19. Comparison of baseline covariate adjustment methods for restricted mean survival time.
Hanada K; Moriya J; Kojima M
Contemp Clin Trials; 2024 Mar; 138():107440. PubMed ID: 38228232
[TBL] [Abstract][Full Text] [Related]
20. Double inverse-weighted estimation of cumulative treatment effects under nonproportional hazards and dependent censoring.
Schaubel DE; Wei G
Biometrics; 2011 Mar; 67(1):29-38. PubMed ID: 20560935
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
