113 related articles for article (PubMed ID: 21328602)
1. An overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models.
Binder H; Porzelius C; Schumacher M
Biom J; 2011 Mar; 53(2):170-89. PubMed ID: 21328602
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.
Gui J; Li H
Bioinformatics; 2005 Jul; 21(13):3001-8. PubMed ID: 15814556
[TBL] [Abstract][Full Text] [Related]
4. Assessment of survival prediction models based on microarray data.
Schumacher M; Binder H; Gerds T
Bioinformatics; 2007 Jul; 23(14):1768-74. PubMed ID: 17485430
[TBL] [Abstract][Full Text] [Related]
5. Coupled variable selection for regression modeling of complex treatment patterns in a clinical cancer registry.
Schmidtmann I; Elsäßer A; Weinmann A; Binder H
Stat Med; 2014 Dec; 33(30):5358-70. PubMed ID: 25345575
[TBL] [Abstract][Full Text] [Related]
6. Partial Cox regression analysis for high-dimensional microarray gene expression data.
Li H; Gui J
Bioinformatics; 2004 Aug; 20 Suppl 1():i208-15. PubMed ID: 15262801
[TBL] [Abstract][Full Text] [Related]
7. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
8. Microarray gene expression data with linked survival phenotypes: diffuse large-B-cell lymphoma revisited.
Segal MR
Biostatistics; 2006 Apr; 7(2):268-85. PubMed ID: 16284340
[TBL] [Abstract][Full Text] [Related]
9. Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models.
Binder H; Schumacher M
BMC Bioinformatics; 2008 Jan; 9():14. PubMed ID: 18186927
[TBL] [Abstract][Full Text] [Related]
10. Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data.
Li H; Luan Y
Bioinformatics; 2005 May; 21(10):2403-9. PubMed ID: 15713732
[TBL] [Abstract][Full Text] [Related]
11. Boosting method for nonlinear transformation models with censored survival data.
Lu W; Li L
Biostatistics; 2008 Oct; 9(4):658-67. PubMed ID: 18344565
[TBL] [Abstract][Full Text] [Related]
12. Adapting prediction error estimates for biased complexity selection in high-dimensional bootstrap samples.
Binder H; Schumacher M
Stat Appl Genet Mol Biol; 2008; 7(1):Article12. PubMed ID: 18384265
[TBL] [Abstract][Full Text] [Related]
13. An evaluation of resampling methods for assessment of survival risk prediction in high-dimensional settings.
Subramanian J; Simon R
Stat Med; 2011 Mar; 30(6):642-53. PubMed ID: 21337359
[TBL] [Abstract][Full Text] [Related]
14. Leveraging external knowledge on molecular interactions in classification methods for risk prediction of patients.
Porzelius C; Johannes M; Binder H; Beissbarth T
Biom J; 2011 Mar; 53(2):190-201. PubMed ID: 21328603
[TBL] [Abstract][Full Text] [Related]
15. 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. PubMed ID: 20166132
[TBL] [Abstract][Full Text] [Related]
16. Identification of biomarkers for risk stratification of cardiovascular events using genetic algorithm with recursive local floating search.
Zhou X; Wang H; Wang J; Wang Y; Hoehn G; Azok J; Brennan ML; Hazen SL; Li K; Chang SF; Wong ST
Proteomics; 2009 Apr; 9(8):2286-94. PubMed ID: 19337989
[TBL] [Abstract][Full Text] [Related]
17. Support vector methods for survival analysis: a comparison between ranking and regression approaches.
Van Belle V; Pelckmans K; Van Huffel S; Suykens JA
Artif Intell Med; 2011 Oct; 53(2):107-18. PubMed ID: 21821401
[TBL] [Abstract][Full Text] [Related]
18. Partly conditional survival models for longitudinal data.
Zheng Y; Heagerty PJ
Biometrics; 2005 Jun; 61(2):379-91. PubMed ID: 16011684
[TBL] [Abstract][Full Text] [Related]
19. Additive risk models for survival data with high-dimensional covariates.
Ma S; Kosorok MR; Fine JP
Biometrics; 2006 Mar; 62(1):202-10. PubMed ID: 16542247
[TBL] [Abstract][Full Text] [Related]
20. Prognostic biomarkers in diffuse large B-cell lymphoma.
Lossos IS; Morgensztern D
J Clin Oncol; 2006 Feb; 24(6):995-1007. PubMed ID: 16418498
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
