364 related articles for article (PubMed ID: 28376736)
1. The importance of censoring in competing risks analysis of the subdistribution hazard.
Donoghoe MW; Gebski V
BMC Med Res Methodol; 2017 Apr; 17(1):52. PubMed ID: 28376736
[TBL] [Abstract][Full Text] [Related]
2. Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified.
Grambauer N; Schumacher M; Beyersmann J
Stat Med; 2010 Mar; 29(7-8):875-84. PubMed ID: 20213713
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Simulating competing risks data in survival analysis.
Beyersmann J; Latouche A; Buchholz A; Schumacher M
Stat Med; 2009 Mar; 28(6):956-71. PubMed ID: 19125387
[TBL] [Abstract][Full Text] [Related]
6. Misspecified regression model for the subdistribution hazard of a competing risk.
Latouche A; Boisson V; Chevret S; Porcher R
Stat Med; 2007 Feb; 26(5):965-74. PubMed ID: 16755533
[TBL] [Abstract][Full Text] [Related]
7. PSHREG: a SAS macro for proportional and nonproportional subdistribution hazards regression.
Kohl M; Plischke M; Leffondré K; Heinze G
Comput Methods Programs Biomed; 2015 Feb; 118(2):218-33. PubMed ID: 25572709
[TBL] [Abstract][Full Text] [Related]
8. Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entry.
Lau B; Cole SR; Gange SJ
Stat Med; 2011 Mar; 30(6):654-65. PubMed ID: 21337360
[TBL] [Abstract][Full Text] [Related]
9. Marginal semiparametric transformation models for clustered multivariate competing risks data.
He Y; Kim S; Mao L; Ahn KW
Stat Med; 2022 Nov; 41(26):5349-5364. PubMed ID: 36117139
[TBL] [Abstract][Full Text] [Related]
10. A proportional hazards regression model for the subdistribution with right-censored and left-truncated competing risks data.
Zhang X; Zhang MJ; Fine J
Stat Med; 2011 Jul; 30(16):1933-51. PubMed ID: 21557288
[TBL] [Abstract][Full Text] [Related]
11. A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards.
Beyersmann J; Dettenkofer M; Bertz H; Schumacher M
Stat Med; 2007 Dec; 26(30):5360-9. PubMed ID: 17634974
[TBL] [Abstract][Full Text] [Related]
12. Analysing and interpreting competing risk data.
Pintilie M
Stat Med; 2007 Mar; 26(6):1360-7. PubMed ID: 16900575
[TBL] [Abstract][Full Text] [Related]
13. Analysis and design of randomised clinical trials involving competing risks endpoints.
Tai BC; Wee J; Machin D
Trials; 2011 May; 12():127. PubMed ID: 21595883
[TBL] [Abstract][Full Text] [Related]
14. Survival Analysis in the Presence of Competing Risks: The Example of Waitlisted Kidney Transplant Candidates.
Sapir-Pichhadze R; Pintilie M; Tinckam KJ; Laupacis A; Logan AG; Beyene J; Kim SJ
Am J Transplant; 2016 Jul; 16(7):1958-66. PubMed ID: 26751409
[TBL] [Abstract][Full Text] [Related]
15. Patient death as a censoring event or competing risk event in models of nursing home placement.
Szychowski JM; Roth DL; Clay OJ; Mittelman MS
Stat Med; 2010 Feb; 29(3):371-81. PubMed ID: 20014354
[TBL] [Abstract][Full Text] [Related]
16. When do we need competing risks methods for survival analysis in nephrology?
Noordzij M; Leffondré K; van Stralen KJ; Zoccali C; Dekker FW; Jager KJ
Nephrol Dial Transplant; 2013 Nov; 28(11):2670-7. PubMed ID: 23975843
[TBL] [Abstract][Full Text] [Related]
17. Boosting for high-dimensional time-to-event data with competing risks.
Binder H; Allignol A; Schumacher M; Beyersmann J
Bioinformatics; 2009 Apr; 25(7):890-6. PubMed ID: 19244389
[TBL] [Abstract][Full Text] [Related]
18. Simulating survival data with predefined censoring rates for proportional hazards models.
Wan F
Stat Med; 2017 Feb; 36(5):838-854. PubMed ID: 27873333
[TBL] [Abstract][Full Text] [Related]
19. Misspecified regression model for the subdistribution hazard of a competing risk.
Beyersmann J; Schumacher M
Stat Med; 2007 Mar; 26(7):1649-51. PubMed ID: 17054104
[No Abstract] [Full Text] [Related]
20. Analysing multicentre competing risks data with a mixed proportional hazards model for the subdistribution.
Katsahian S; Resche-Rigon M; Chevret S; Porcher R
Stat Med; 2006 Dec; 25(24):4267-78. PubMed ID: 16960919
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]