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Items: 1 to 20 of 132

1.

Goodness-of-fit test for proportional subdistribution hazards model.

Zhou B, Fine J, Laird G.

Stat Med. 2013 Sep 30;32(22):3804-11. doi: 10.1002/sim.5815. Epub 2013 Apr 28.

PMID:
23625840
2.

Goodness-of-fit test for monotone proportional subdistribution hazards assumptions based on weighted residuals.

Boher JM, Filleron T, Giorgi R, Kramar A, Cook RJ.

Stat Med. 2017 Jan 30;36(2):362-377. doi: 10.1002/sim.7153. Epub 2016 Oct 28.

PMID:
27790725
3.

Checking Fine and Gray subdistribution hazards model with cumulative sums of residuals.

Li J, Scheike TH, Zhang MJ.

Lifetime Data Anal. 2015 Apr;21(2):197-217. doi: 10.1007/s10985-014-9313-9. Epub 2014 Nov 25.

4.

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. doi: 10.1111/j.1541-0420.2010.01420.x.

PMID:
20377575
5.

Residuals for proportional hazards models with interval-censored survival data.

Farrington CP.

Biometrics. 2000 Jun;56(2):473-82.

PMID:
10877306
6.

Variable selection in subdistribution hazard frailty models with competing risks data.

Ha ID, Lee M, Oh S, Jeong JH, Sylvester R, Lee Y.

Stat Med. 2014 Nov 20;33(26):4590-604. doi: 10.1002/sim.6257. Epub 2014 Jul 10.

7.

Local influence for the subdistribution of a competing risk.

Resche-Rigon M, Chevret S.

Stat Med. 2006 Jun 15;25(11):1937-47.

PMID:
16158402
8.

Tests for the proportional intensity assumption based on the score process.

Kvaløy JT, Neef LR.

Lifetime Data Anal. 2004 Jun;10(2):139-57.

PMID:
15293629
10.

Analysis and design of randomised clinical trials involving competing risks endpoints.

Tai BC, Wee J, Machin D.

Trials. 2011 May 19;12:127. doi: 10.1186/1745-6215-12-127.

11.

Flexible competing risks regression modeling and goodness-of-fit.

Scheike TH, Zhang MJ.

Lifetime Data Anal. 2008 Dec;14(4):464-83. doi: 10.1007/s10985-008-9094-0. Epub 2008 Aug 28.

12.

Performance of goodness-of-fit tests for the Cox proportional hazards model with time-varying covariates.

Grant S, Chen YQ, May S.

Lifetime Data Anal. 2014 Jul;20(3):355-68. doi: 10.1007/s10985-013-9277-1. Epub 2013 Aug 9.

13.

Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified.

Grambauer N, Schumacher M, Beyersmann J.

Stat Med. 2010 Mar 30;29(7-8):875-84. doi: 10.1002/sim.3786.

PMID:
20213713
14.

Misspecified regression model for the subdistribution hazard of a competing risk.

Latouche A, Boisson V, Chevret S, Porcher R.

Stat Med. 2007 Feb 28;26(5):965-74.

PMID:
16755533
15.

Estimating and testing for center effects in competing risks.

Katsahian S, Boudreau C.

Stat Med. 2011 Jun 15;30(13):1608-17. doi: 10.1002/sim.4132. Epub 2011 Feb 22.

PMID:
21341296
16.

Diagnostic plots to reveal functional form for covariates in multiplicative intensity models.

Grambsch PM, Therneau TM, Fleming TR.

Biometrics. 1995 Dec;51(4):1469-82.

PMID:
8589234
17.

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 20;30(16):1933-51. doi: 10.1002/sim.4264. Epub 2011 May 9.

18.

Proportional hazards model with varying coefficients for length-biased data.

Zhang F, Chen X, Zhou Y.

Lifetime Data Anal. 2014 Jan;20(1):132-57. doi: 10.1007/s10985-013-9257-5. Epub 2013 May 7.

PMID:
23649724
19.
20.

Model checks for Cox-type regression models based on optimally weighted martingale residuals.

Gandy A, Jensen U.

Lifetime Data Anal. 2009 Dec;15(4):534-57. doi: 10.1007/s10985-009-9121-9. Epub 2009 Jun 9.

PMID:
19507026

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