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 *

94 related articles for article (PubMed ID: 30263041)

  • 1. Joint screening of ultrahigh dimensional variables for family-based genetic studies.
    Datta S; Fang Y; Loh JM
    BMC Proc; 2018; 12(Suppl 9):24. PubMed ID: 30263041
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Feature Screening in Ultrahigh Dimensional Cox's Model.
    Yang G; Yu Y; Li R; Buu A
    Stat Sin; 2016; 26():881-901. PubMed ID: 27418749
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Feature Screening via Distance Correlation Learning.
    Li R; Zhong W; Zhu L
    J Am Stat Assoc; 2012 Jul; 107(499):1129-1139. PubMed ID: 25249709
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Model-Free Conditional Independence Feature Screening For Ultrahigh Dimensional Data.
    Wang L; Liu J; Li Y; Li R
    Sci China Math; 2017 Mar; 60(3):551-568. PubMed ID: 28649265
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Model-free conditional screening for ultrahigh-dimensional survival data via conditional distance correlation.
    Cui H; Liu Y; Mao G; Zhang J
    Biom J; 2023 Mar; 65(3):e2200089. PubMed ID: 36526602
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature Screening in Ultrahigh Dimensional Generalized Varying-coefficient Models.
    Yang G; Yang S; Li R
    Stat Sin; 2020; 30():1049-1067. PubMed ID: 32982122
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Group Feature Screening via the F Statistic.
    Song WC; Xie J
    Commun Stat Simul Comput; 2022; 51(4):1921-1931. PubMed ID: 35668896
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A selective overview of feature screening for ultrahigh-dimensional data.
    JingYuan L; Wei Z; RunZe LI
    Sci China Math; 2015 Oct; 58(10):2033-2054. PubMed ID: 26779257
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Conditional screening for ultrahigh-dimensional survival data in case-cohort studies.
    Zhang J; Zhou H; Liu Y; Cai J
    Lifetime Data Anal; 2021 Oct; 27(4):632-661. PubMed ID: 34417679
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A FAST ALGORITHM FOR DETECTING GENE-GENE INTERACTIONS IN GENOME-WIDE ASSOCIATION STUDIES.
    Li J; Zhong W; Li R; Wu R
    Ann Appl Stat; 2014; 8(4):2292-2318. PubMed ID: 26457126
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feature screening in ultrahigh-dimensional varying-coefficient Cox model.
    Yang G; Zhang L; Li R; Huang Y
    J Multivar Anal; 2019 May; 171():284-297. PubMed ID: 31866699
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Ultrahigh dimensional feature selection: beyond the linear model.
    Fan J; Samworth R; Wu Y
    J Mach Learn Res; 2009; 10():2013-2038. PubMed ID: 21603590
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Partition-based ultrahigh-dimensional variable screening.
    Kang J; Hong HG; Li YI
    Biometrika; 2017 Nov; 104(4):785-800. PubMed ID: 29643546
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Feature Selection for Varying Coefficient Models With Ultrahigh Dimensional Covariates.
    Liu J; Li R; Wu R
    J Am Stat Assoc; 2014 Jan; 109(505):266-274. PubMed ID: 24678135
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening.
    Pan R; Wang H; Li R
    J Am Stat Assoc; 2016; 111(513):169-179. PubMed ID: 28127109
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Model-free slice screening for ultrahigh-dimensional survival data.
    Zhang J; Liu Y
    J Appl Stat; 2021; 48(10):1755-1774. PubMed ID: 35706712
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Feature Screening for High-Dimensional Variable Selection in Generalized Linear Models.
    Jiang J; Shang J
    Entropy (Basel); 2023 May; 25(6):. PubMed ID: 37372195
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.
    Coull BA; Bobb JF; Wellenius GA; Kioumourtzoglou MA; Mittleman MA; Koutrakis P; Godleski JJ
    Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):5-50. PubMed ID: 26333238
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the performance of adaptive preprocessing technique in analyzing high-dimensional censored data.
    Khan MHR
    Biom J; 2018 Jul; 60(4):687-702. PubMed ID: 29603360
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Generic Sure Independence Screening Procedure.
    Pan W; Wang X; Xiao W; Zhu H
    J Am Stat Assoc; 2019; 114(526):928-937. PubMed ID: 31692981
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.