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Items: 1 to 20 of 92

1.

PROPORTIONAL HAZARDS MODELS WITH CONTINUOUS MARKS.

Sun Y, Gilbert PB, McKeague IW.

Ann Stat. 2009 Feb 1;37(1):394-426.

2.

Mark-specific proportional hazards model with multivariate continuous marks and its application to HIV vaccine efficacy trials.

Sun Y, Li M, Gilbert PB.

Biostatistics. 2013 Jan;14(1):60-74. doi: 10.1093/biostatistics/kxs022. Epub 2012 Jul 3.

3.

Goodness-of-fit test of the stratified mark-specific proportional hazards model with continuous mark.

Sun Y, Li M, Gilbert PB.

Comput Stat Data Anal. 2016 Jan 1;93:348-358. Epub 2014 Dec 3.

4.

Mark-specific additive hazards regression with continuous marks.

Han D, Sun L, Sun Y, Qi L.

Lifetime Data Anal. 2016 May 11. [Epub ahead of print]

PMID:
27170333
5.

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.

6.

The 2-sample problem for failure rates depending on a continuous mark: an application to vaccine efficacy.

Gilbert PB, McKeague IW, Sun Y.

Biostatistics. 2008 Apr;9(2):263-76. Epub 2007 Aug 17.

PMID:
17704528
8.

Mark-specific hazard ratio model with multivariate continuous marks: an application to vaccine efficacy.

Juraska M, Gilbert PB.

Biometrics. 2013 Jun;69(2):328-37. doi: 10.1111/biom.12016. Epub 2013 Feb 19.

9.

Testing and estimation of time-varying cause-specific hazard ratios with covariate adjustment.

Sun Y, Hyun S, Gilbert P.

Biometrics. 2008 Dec;64(4):1070-9. doi: 10.1111/j.1541-0420.2008.01012.x. Epub 2008 Mar 19.

PMID:
18355384
10.

Mark-specific hazard ratio model with missing multivariate marks.

Juraska M, Gilbert PB.

Lifetime Data Anal. 2016 Oct;22(4):606-25. doi: 10.1007/s10985-015-9353-9. Epub 2015 Oct 28.

PMID:
26511033
11.

Case-only method for cause-specific hazards models with application to assessing differential vaccine efficacy by viral and host genetics.

Dai JY, Li SS, Gilbert PB.

Biostatistics. 2014 Jan;15(1):196-203. doi: 10.1093/biostatistics/kxt018. Epub 2013 Jun 27.

12.
14.

An estimator for the proportional hazards model with multiple longitudinal covariates measured with error.

Song X, Davidian M, Tsiatis AA.

Biostatistics. 2002 Dec;3(4):511-28.

PMID:
12933595
15.

Flexible modeling of competing risks in survival analysis.

Belot A, Abrahamowicz M, Remontet L, Giorgi R.

Stat Med. 2010 Oct 15;29(23):2453-68. doi: 10.1002/sim.4005.

PMID:
20645282
16.

The use and interpretation of competing risks regression models.

Dignam JJ, Zhang Q, Kocherginsky M.

Clin Cancer Res. 2012 Apr 15;18(8):2301-8. doi: 10.1158/1078-0432.CCR-11-2097. Epub 2012 Jan 26.

17.

Time-dependent covariates in the proportional subdistribution hazards model for competing risks.

Beyersmann J, Schumacher M.

Biostatistics. 2008 Oct;9(4):765-76. doi: 10.1093/biostatistics/kxn009. Epub 2008 Apr 22.

PMID:
18434297
18.

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 15;30(6):654-65. doi: 10.1002/sim.4123. Epub 2010 Nov 30. Erratum in: Stat Med. 2012 Jul 20;31(16):1777-8.

19.

Dealing with competing risks: testing covariates and calculating sample size.

Pintilie M.

Stat Med. 2002 Nov 30;21(22):3317-24.

PMID:
12407674
20.

Tests for comparing mark-specific hazards and cumulative incidence functions.

Gilbert PB, McKeague IW, Sun Y.

Lifetime Data Anal. 2004 Mar;10(1):5-28.

PMID:
15130048

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