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 *

228 related articles for article (PubMed ID: 20445770)

  • 1. ON THE ADAPTIVE ELASTIC-NET WITH A DIVERGING NUMBER OF PARAMETERS.
    Zou H; Zhang HH
    Ann Stat; 2009; 37(4):1733-1751. PubMed ID: 20445770
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Simultaneous Estimation and Variable Selection for Interval-Censored Data with Broken Adaptive Ridge Regression.
    Zhao H; Wu Q; Li G; Sun J
    J Am Stat Assoc; 2020; 115(529):204-216. PubMed ID: 32742044
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Adaptive Elastic Echo State Network for Multivariate Time Series Prediction.
    Xu M; Han M
    IEEE Trans Cybern; 2016 Oct; 46(10):2173-2183. PubMed ID: 27455531
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension.
    Cheng G; Zhang HH; Shang Z
    Ann Inst Stat Math; 2015 Feb; 67(1):93-127. PubMed ID: 25620808
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Surface Estimation, Variable Selection, and the Nonparametric Oracle Property.
    Storlie CB; Bondell HD; Reich BJ; Zhang HH
    Stat Sin; 2011 Apr; 21(2):679-705. PubMed ID: 21603586
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adaptive Elastic Net for Generalized Methods of Moments.
    Caner M; Zhang HH
    J Bus Econ Stat; 2014 Jan; 32(1):30-47. PubMed ID: 24570579
    [TBL] [Abstract][Full Text] [Related]  

  • 8. VARIABLE SELECTION AND ESTIMATION IN HIGH-DIMENSIONAL VARYING-COEFFICIENT MODELS.
    Wei F; Huang J; Li H
    Stat Sin; 2011 Oct; 21(4):1515-1540. PubMed ID: 24478564
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification.
    Algamal ZY; Lee MH
    Comput Biol Med; 2015 Dec; 67():136-45. PubMed ID: 26520484
    [TBL] [Abstract][Full Text] [Related]  

  • 10. NETWORK-REGULARIZED HIGH-DIMENSIONAL COX REGRESSION FOR ANALYSIS OF GENOMIC DATA.
    Sun H; Lin W; Feng R; Li H
    Stat Sin; 2014 Jul; 24(3):1433-1459. PubMed ID: 26316678
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Reader reaction to "Outcome-adaptive lasso: Variable selection for causal inference" by Shortreed and Ertefaie (2017).
    Baldé I; Yang YA; Lefebvre G
    Biometrics; 2023 Mar; 79(1):514-520. PubMed ID: 35642320
    [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. 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]  

  • 14. Variable selection and estimation in generalized linear models with the seamless
    Li Z; Wang S; Lin X
    Can J Stat; 2012 Dec; 40(4):745-769. PubMed ID: 23519603
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Simultaneous estimation and variable selection in median regression using Lasso-type penalty.
    Xu J; Ying Z
    Ann Inst Stat Math; 2010 Jun; 62(3):487-514. PubMed ID: 23976790
    [TBL] [Abstract][Full Text] [Related]  

  • 16. VARIABLE SELECTION IN LINEAR MIXED EFFECTS MODELS.
    Fan Y; Li R
    Ann Stat; 2012 Aug; 40(4):2043-2068. PubMed ID: 24850975
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Inferring latent heterogeneity using many feature variables supervised by survival outcome.
    Jia B; Zeng D; Liao JJZ; Liu GF; Tan X; Diao G; Ibrahim JG
    Stat Med; 2021 Jun; 40(13):3181-3195. PubMed ID: 33819928
    [TBL] [Abstract][Full Text] [Related]  

  • 18. New Gibbs sampling methods for bayesian regularized quantile regression.
    Alhamzawi R; Alhamzawi A; Mohammad Ali HT
    Comput Biol Med; 2019 Jul; 110():52-65. PubMed ID: 31125847
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Weak signals in high-dimension regression: detection, estimation and prediction.
    Li Y; Hong HG; Ahmed SE; Li Y
    Appl Stoch Models Bus Ind; 2019; 35(2):283-298. PubMed ID: 31666801
    [TBL] [Abstract][Full Text] [Related]  

  • 20. High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking.
    Wang F; Mukherjee S; Richardson S; Hill SM
    Stat Comput; 2020; 30(3):697-719. PubMed ID: 32132772
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.