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Items: 1 to 20 of 156

1.

Path consistent model selection in additive risk model via Lasso.

Leng C, Ma S.

Stat Med. 2007 Sep 10;26(20):3753-70.

PMID:
17309043
2.

Additive risk models for survival data with high-dimensional covariates.

Ma S, Kosorok MR, Fine JP.

Biometrics. 2006 Mar;62(1):202-10.

PMID:
16542247
3.

High-dimensional Cox models: the choice of penalty as part of the model building process.

Benner A, Zucknick M, Hielscher T, Ittrich C, Mansmann U.

Biom J. 2010 Feb;52(1):50-69. doi: 10.1002/bimj.200900064.

PMID:
20166132
4.
5.

Piecewise exponential survival trees with time-dependent covariates.

Huang X, Chen S, Soong SJ.

Biometrics. 1998 Dec;54(4):1420-33.

PMID:
9883542
6.

Semi-parametric additive risk models: application to injury duration study.

Lim HJ, Zhang X.

Accid Anal Prev. 2009 Mar;41(2):211-6. doi: 10.1016/j.aap.2008.07.015. Epub 2008 Oct 10.

PMID:
19245877
7.
8.
9.
10.

A semiparametric approach for the nonparametric transformation survival model with multiple covariates.

Song X, Ma S, Huang J, Zhou XH.

Biostatistics. 2007 Apr;8(2):197-211. Epub 2006 May 2.

PMID:
16670240
11.
12.

An empirical approach to model selection through validation for censored survival data.

Choi I, Wells BJ, Yu C, Kattan MW.

J Biomed Inform. 2011 Aug;44(4):595-606. doi: 10.1016/j.jbi.2011.02.005. Epub 2011 Feb 16.

13.
14.

An approach to estimation in relative survival regression.

Perme MP, Henderson R, Stare J.

Biostatistics. 2009 Jan;10(1):136-46. doi: 10.1093/biostatistics/kxn021. Epub 2008 Jul 3.

PMID:
18599516
15.

The lasso method for variable selection in the Cox model.

Tibshirani R.

Stat Med. 1997 Feb 28;16(4):385-95.

PMID:
9044528
16.

An estimator of the survival function based on the semi-Markov model under dependent censorship.

Lee SY, Tsai WY.

Lifetime Data Anal. 2005 Jun;11(2):193-211.

PMID:
15938546
17.

Variable selection for proportional odds model.

Lu W, Zhang HH.

Stat Med. 2007 Sep 10;26(20):3771-81.

PMID:
17266170
18.

Analysis of additive risk model with high-dimensional covariates using partial least squares.

Zhao Y, Zhou Y, Zhao M.

Stat Med. 2009 Jan 30;28(2):181-93. doi: 10.1002/sim.3412.

PMID:
18800330
19.
20.

The lasso--a novel method for predictive covariate model building in nonlinear mixed effects models.

Ribbing J, Nyberg J, Caster O, Jonsson EN.

J Pharmacokinet Pharmacodyn. 2007 Aug;34(4):485-517. Epub 2007 May 22.

PMID:
17516152

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