These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

120 related articles for article (PubMed ID: 24516328)

  • 1. Non-Asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via Lasso.
    Kong S; Nan B
    Stat Sin; 2014 Jan; 24(1):25-42. PubMed ID: 24516328
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications.
    Huang J; Zhang CH
    J Mach Learn Res; 2012 Jun; 13():1839-1864. PubMed ID: 24348100
    [TBL] [Abstract][Full Text] [Related]  

  • 3. ORACLE INEQUALITIES FOR THE LASSO IN THE COX MODEL.
    Huang J; Sun T; Ying Z; Yu Y; Zhang CH
    Ann Stat; 2013 Jun; 41(3):1142-1165. PubMed ID: 24086091
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The lasso for high dimensional regression with a possible change point.
    Lee S; Seo MH; Shin Y
    J R Stat Soc Series B Stat Methodol; 2016 Jan; 78(1):193-210. PubMed ID: 27656104
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Empirical Likelihood for Censored Linear Regression and Variable Selection.
    Wu TT; Li G; Tang C
    Scand Stat Theory Appl; 2015 Sep; 42(3):798-812. PubMed ID: 31097849
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Variable Selection with Prior Information for Generalized Linear Models via the Prior LASSO Method.
    Jiang Y; He Y; Zhang H
    J Am Stat Assoc; 2016; 111(513):355-376. PubMed ID: 27217599
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Asymptotic Behavior of Cox's Partial Likelihood and its Application to Variable Selection.
    Li R; Ren JJ; Yang G; Yu Y
    Stat Sin; 2018 Oct; 28(4):2713-2731. PubMed ID: 30294192
    [TBL] [Abstract][Full Text] [Related]  

  • 8. ADAPTIVE ROBUST VARIABLE SELECTION.
    Fan J; Fan Y; Barut E
    Ann Stat; 2014 Feb; 42(1):324-351. PubMed ID: 25580039
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Modified Adaptive Lasso for Identifying Interactions in the Cox Model with the Heredity Constraint.
    Wang L; Shen J; Thall PF
    Stat Probab Lett; 2014 Oct; 93():126-133. PubMed ID: 25071299
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adaptive lasso for the Cox regression with interval censored and possibly left truncated data.
    Li C; Pak D; Todem D
    Stat Methods Med Res; 2020 Apr; 29(4):1243-1255. PubMed ID: 31203741
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Penalized full likelihood approach to variable selection for Cox's regression model under nested case-control sampling.
    Wang JH; Pan CH; Chang IS; Hsiung CA
    Lifetime Data Anal; 2020 Apr; 26(2):292-314. PubMed ID: 31065967
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On the robustness of the adaptive lasso to model misspecification.
    Lu W; Goldberg Y; Fine JP
    Biometrika; 2012 Sep; 99(3):717-731. PubMed ID: 25294946
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Generally Efficient Targeted Minimum Loss Based Estimator based on the Highly Adaptive Lasso.
    van der Laan M
    Int J Biostat; 2017 Oct; 13(2):. PubMed ID: 29023235
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Penalized Empirical Likelihood for the Sparse Cox Regression Model.
    Wang D; Wu TT; Zhao Y
    J Stat Plan Inference; 2019 Jul; 201():71-85. PubMed ID: 31588162
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A note on the effect on power of score tests via dimension reduction by penalized regression under the null.
    Martinez JG; Carroll RJ; Muller S; Sampson JN; Chatterjee N
    Int J Biostat; 2010 Mar; 6(1):Article 12. PubMed ID: 20405045
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CALIBRATING NON-CONVEX PENALIZED REGRESSION IN ULTRA-HIGH DIMENSION.
    Wang L; Kim Y; Li R
    Ann Stat; 2013 Oct; 41(5):2505-2536. PubMed ID: 24948843
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Regularized estimation in sparse high-dimensional multivariate regression, with application to a DNA methylation study.
    Zhang H; Zheng Y; Yoon G; Zhang Z; Gao T; Joyce B; Zhang W; Schwartz J; Vokonas P; Colicino E; Baccarelli A; Hou L; Liu L
    Stat Appl Genet Mol Biol; 2017 Jul; 16(3):159-171. PubMed ID: 28734115
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Partial Consistency with Sparse Incidental Parameters.
    Fan J; Tang R; Shi X
    Stat Sin; 2018 May; 28():2633-2655. PubMed ID: 31607773
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rank-based variable selection with censored data.
    Xu J; Leng C; Ying Z
    Stat Comput; 2010 Apr; 20(2):165-176. PubMed ID: 24013588
    [TBL] [Abstract][Full Text] [Related]  

  • 20. PENALIZED VARIABLE SELECTION PROCEDURE FOR COX MODELS WITH SEMIPARAMETRIC RELATIVE RISK.
    Du P; Ma S; Liang H
    Ann Stat; 2010 Aug; 38(4):2092-2117. PubMed ID: 20802853
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.