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Items: 1 to 20 of 680

1.

Flexible boosting of accelerated failure time models.

Schmid M, Hothorn T.

BMC Bioinformatics. 2008 Jun 6;9:269. doi: 10.1186/1471-2105-9-269.

2.

Incorporating pathway information into boosting estimation of high-dimensional risk prediction models.

Binder H, Schumacher M.

BMC Bioinformatics. 2009 Jan 13;10:18. doi: 10.1186/1471-2105-10-18.

3.

Boosting for high-dimensional time-to-event data with competing risks.

Binder H, Allignol A, Schumacher M, Beyersmann J.

Bioinformatics. 2009 Apr 1;25(7):890-6. doi: 10.1093/bioinformatics/btp088. Epub 2009 Feb 25.

4.

A Markov chain Monte Carlo EM algorithm for analyzing interval-censored data under the Cox proportional hazards model.

Goggins WB, Finkelstein DM, Schoenfeld DA, Zaslavsky AM.

Biometrics. 1998 Dec;54(4):1498-507.

PMID:
9883548
5.

Boosting method for nonlinear transformation models with censored survival data.

Lu W, Li L.

Biostatistics. 2008 Oct;9(4):658-67. doi: 10.1093/biostatistics/kxn005. Epub 2008 Mar 15.

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Estimation in a Cox proportional hazards cure model.

Sy JP, Taylor JM.

Biometrics. 2000 Mar;56(1):227-36.

PMID:
10783800
9.

Comparing proportional hazards and accelerated failure time models for survival analysis.

Orbe J, Ferreira E, Núñez-Antón V.

Stat Med. 2002 Nov 30;21(22):3493-510.

PMID:
12407686
10.

A nonparametric mixture model for cure rate estimation.

Peng Y, Dear KB.

Biometrics. 2000 Mar;56(1):237-43.

PMID:
10783801
11.

Doubly penalized buckley-james method for survival data with high-dimensional covariates.

Wang S, Nan B, Zhu J, Beer DG.

Biometrics. 2008 Mar;64(1):132-40. Epub 2007 Aug 3.

PMID:
17680828
12.

A boosting approach to flexible semiparametric mixed models.

Tutz G, Reithinger F.

Stat Med. 2007 Jun 30;26(14):2872-900.

PMID:
17133647
13.

Segmentation and intensity estimation of microarray images using a gamma-t mixture model.

Baek J, Son YS, McLachlan GJ.

Bioinformatics. 2007 Feb 15;23(4):458-65. Epub 2006 Dec 12.

14.

Parametric models for accelerated and long-term survival: a comment on proportional hazards.

Frankel P, Longmate J.

Stat Med. 2002 Nov 15;21(21):3279-89.

PMID:
12375304
15.

Partial least squares Cox regression for genome-wide data.

Nygård S, Borgan O, Lingjaerde OC, Størvold HL.

Lifetime Data Anal. 2008 Jun;14(2):179-95. doi: 10.1007/s10985-007-9076-7.

PMID:
18188699
16.

Maximum likelihood estimation for tied survival data under Cox regression model via EM-algorithm.

Scheike TH, Sun Y.

Lifetime Data Anal. 2007 Sep;13(3):399-420. Epub 2007 Aug 8.

PMID:
17682942
17.

Flexible maximum likelihood methods for bivariate proportional hazards models.

He W, Lawless JF.

Biometrics. 2003 Dec;59(4):837-48.

PMID:
14969462
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19.

Fast parametric imaging algorithm for dual-input biomedical system parameter estimation.

Choi HC, Chen S, Feng D, Wong KP.

Comput Methods Programs Biomed. 2006 Jan;81(1):49-55.

PMID:
16376452
20.

L1 penalized estimation in the Cox proportional hazards model.

Goeman JJ.

Biom J. 2010 Feb;52(1):70-84. doi: 10.1002/bimj.200900028.

PMID:
19937997
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