185 related articles for article (PubMed ID: 28238045)
1. Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms.
Lok JJ; Yang S; Sharkey B; Hughes MD
Lifetime Data Anal; 2018 Apr; 24(2):201-223. PubMed ID: 28238045
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Parametric likelihood inference for interval censored competing risks data.
Hudgens MG; Li C; Fine JP
Biometrics; 2014 Mar; 70(1):1-9. PubMed ID: 24400873
[TBL] [Abstract][Full Text] [Related]
4. Evaluating predictors of competing risk outcomes when censoring depends on time-dependent covariates, with application to safety and efficacy of HIV treatment.
Lok JJ; Hughes MD
Stat Med; 2016 Jun; 35(13):2183-94. PubMed ID: 26763556
[TBL] [Abstract][Full Text] [Related]
5. Limitation of inverse probability-of-censoring weights in estimating survival in the presence of strong selection bias.
Howe CJ; Cole SR; Chmiel JS; Muñoz A
Am J Epidemiol; 2011 Mar; 173(5):569-77. PubMed ID: 21289029
[TBL] [Abstract][Full Text] [Related]
6. Association analysis of successive events data in the presence of competing risks.
Chen X; Cheng Y; Frank E; Kupfer DJ
Stat Methods Med Res; 2018 Jun; 27(6):1661-1682. PubMed ID: 27647813
[TBL] [Abstract][Full Text] [Related]
7. Smooth semi-nonparametric (SNP) estimation of the cumulative incidence function.
Duc AN; Wolbers M
Stat Med; 2017 Aug; 36(18):2921-2934. PubMed ID: 28543626
[TBL] [Abstract][Full Text] [Related]
8. Weighted estimation of the accelerated failure time model in the presence of dependent censoring.
Cho Y; Ghosh D
PLoS One; 2015; 10(4):e0124381. PubMed ID: 25909753
[TBL] [Abstract][Full Text] [Related]
9. Nonparametric binary instrumental variable analysis of competing risks data.
Richardson A; Hudgens MG; Fine JP; Brookhart MA
Biostatistics; 2017 Jan; 18(1):48-61. PubMed ID: 27354709
[TBL] [Abstract][Full Text] [Related]
10. Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks.
Stegherr R; Schmoor C; Beyersmann J; Rufibach K; Jehl V; Brückner A; Eisele L; Künzel T; Kupas K; Langer F; Leverkus F; Loos A; Norenberg C; Voss F; Friede T
Trials; 2021 Jun; 22(1):420. PubMed ID: 34187527
[TBL] [Abstract][Full Text] [Related]
11. Receiver operating characteristic curve estimation for time to event with semicompeting risks and interval censoring.
Jacqmin-Gadda H; Blanche P; Chary E; Touraine C; Dartigues JF
Stat Methods Med Res; 2016 Dec; 25(6):2750-2766. PubMed ID: 24803510
[TBL] [Abstract][Full Text] [Related]
12. Selection Bias Due to Loss to Follow Up in Cohort Studies.
Howe CJ; Cole SR; Lau B; Napravnik S; Eron JJ
Epidemiology; 2016 Jan; 27(1):91-7. PubMed ID: 26484424
[TBL] [Abstract][Full Text] [Related]
13. Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards.
Díaz I; Colantuoni E; Hanley DF; Rosenblum M
Lifetime Data Anal; 2019 Jul; 25(3):439-468. PubMed ID: 29492746
[TBL] [Abstract][Full Text] [Related]
14. Doubly robust estimator of risk in the presence of censoring dependent on time-varying covariates: application to a primary prevention trial for coronary events with pravastatin.
Kawahara T; Shinozaki T; Matsuyama Y
BMC Med Res Methodol; 2020 Jul; 20(1):204. PubMed ID: 32736528
[TBL] [Abstract][Full Text] [Related]
15. Improved confidence intervals for a difference of two cause-specific cumulative incidence functions estimated in the presence of competing risks and random censoring.
Scosyrev E
Biom J; 2020 Oct; 62(6):1394-1407. PubMed ID: 32227361
[TBL] [Abstract][Full Text] [Related]
16. Cause-specific cumulative incidence estimation and the fine and gray model under both left truncation and right censoring.
Geskus RB
Biometrics; 2011 Mar; 67(1):39-49. PubMed ID: 20377575
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of independent censoring.
Dong G; Mao L; Huang B; Gamalo-Siebers M; Wang J; Yu G; Hoaglin DC
J Biopharm Stat; 2020 Sep; 30(5):882-899. PubMed ID: 32552451
[TBL] [Abstract][Full Text] [Related]
20. A Proportional Hazards Regression Model for the Sub-distribution with Covariates Adjusted Censoring Weight for Competing Risks Data.
He P; Eriksson F; Scheike TH; Zhang MJ
Scand Stat Theory Appl; 2016 Mar; 43(1):103-122. PubMed ID: 27034534
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]