116 related articles for article (PubMed ID: 24453861)
1. Adaptive L₁/₂ shooting regularization method for survival analysis using gene expression data.
Liu XY; Liang Y; Xu ZB; Zhang H; Leung KS
ScientificWorldJournal; 2013; 2013():475702. PubMed ID: 24453861
[TBL] [Abstract][Full Text] [Related]
2. Novel harmonic regularization approach for variable selection in Cox's proportional hazards model.
Chu GJ; Liang Y; Wang JX
Comput Math Methods Med; 2014; 2014():857398. PubMed ID: 25506389
[TBL] [Abstract][Full Text] [Related]
3. Variable selection for proportional odds model.
Lu W; Zhang HH
Stat Med; 2007 Sep; 26(20):3771-81. PubMed ID: 17266170
[TBL] [Abstract][Full Text] [Related]
4. Adaptive regularization using the entire solution surface.
Wu S; Shen X; Geyer CJ
Biometrika; 2009 Sep; 96(3):513-527. PubMed ID: 23946545
[TBL] [Abstract][Full Text] [Related]
5. The L
Jiang HK; Liang Y
Comput Biol Med; 2018 Sep; 100():203-208. PubMed ID: 30032047
[TBL] [Abstract][Full Text] [Related]
6. L1 penalized estimation in the Cox proportional hazards model.
Goeman JJ
Biom J; 2010 Feb; 52(1):70-84. PubMed ID: 19937997
[TBL] [Abstract][Full Text] [Related]
7. Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent.
Simon N; Friedman J; Hastie T; Tibshirani R
J Stat Softw; 2011 Mar; 39(5):1-13. PubMed ID: 27065756
[TBL] [Abstract][Full Text] [Related]
8. Simultaneous variable selection and estimation for survival data via the Gaussian seamless-
Liu Z; Wang H
Stat Med; 2024 Apr; 43(8):1509-1526. PubMed ID: 38320545
[TBL] [Abstract][Full Text] [Related]
9. Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
Liang Y; Liu C; Luan XZ; Leung KS; Chan TM; Xu ZB; Zhang H
BMC Bioinformatics; 2013 Jun; 14():198. PubMed ID: 23777239
[TBL] [Abstract][Full Text] [Related]
10. A Simple Method for Deriving the Confidence Regions for the Penalized Cox's Model via the Minimand Perturbation.
Lin CY; Halabi S
Commun Stat Theory Methods; 2017; 46(10):4791-4808. PubMed ID: 29326496
[TBL] [Abstract][Full Text] [Related]
11. Gradient lasso for Cox proportional hazards model.
Sohn I; Kim J; Jung SH; Park C
Bioinformatics; 2009 Jul; 25(14):1775-81. PubMed ID: 19447787
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Regularized parametric survival modeling to improve risk prediction models.
Hoogland J; Debray TPA; Crowther MJ; Riley RD; IntHout J; Reitsma JB; Zwinderman AH
Biom J; 2024 Jan; 66(1):e2200319. PubMed ID: 37775946
[TBL] [Abstract][Full Text] [Related]
14. Variable selection for a mark-specific additive hazards model using the adaptive LASSO.
Han D; Qu L; Sun L; Sun Y
Stat Methods Med Res; 2021 Sep; 30(9):2017-2031. PubMed ID: 34266342
[TBL] [Abstract][Full Text] [Related]
15. REGULARIZATION FOR COX'S PROPORTIONAL HAZARDS MODEL WITH NP-DIMENSIONALITY.
Bradic J; Fan J; Jiang J
Ann Stat; 2011; 39(6):3092-3120. PubMed ID: 23066171
[TBL] [Abstract][Full Text] [Related]
16. An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis.
He K; Wang Y; Zhou X; Xu H; Huang C
Lifetime Data Anal; 2019 Jul; 25(3):569-585. PubMed ID: 30478713
[TBL] [Abstract][Full Text] [Related]
17. Survival curve estimation with dependent left truncated data using Cox's model.
Mackenzie T
Int J Biostat; 2012 Oct; 8(1):. PubMed ID: 23104845
[TBL] [Abstract][Full Text] [Related]
18. Order selection and sparsity in latent variable models via the ordered factor LASSO.
Hui FKC; Tanaka E; Warton DI
Biometrics; 2018 Dec; 74(4):1311-1319. PubMed ID: 29750847
[TBL] [Abstract][Full Text] [Related]
19. Identification of homogeneous and heterogeneous variables in pooled cohort studies.
Cheng X; Lu W; Liu M
Biometrics; 2015 Jun; 71(2):397-403. PubMed ID: 25732747
[TBL] [Abstract][Full Text] [Related]
20. The L(1/2) regularization approach for survival analysis in the accelerated failure time model.
Chai H; Liang Y; Liu XY
Comput Biol Med; 2015 Sep; 64():283-90. PubMed ID: 25262114
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]