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 *

112 related articles for article (PubMed ID: 38248170)

  • 1. Estimation of a Simple Structure in a Multidimensional IRT Model Using Structure Regularization.
    Shimmura R; Suzuki J
    Entropy (Basel); 2023 Dec; 26(1):. PubMed ID: 38248170
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sparse and Simple Structure Estimation via Prenet Penalization.
    Hirose K; Terada Y
    Psychometrika; 2023 Dec; 88(4):1381-1406. PubMed ID: 35606611
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Latent Variable Selection for Multidimensional Item Response Theory Models via [Formula: see text] Regularization.
    Sun J; Chen Y; Liu J; Ying Z; Xin T
    Psychometrika; 2016 Dec; 81(4):921-939. PubMed ID: 27699561
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An improved stochastic EM algorithm for large-scale full-information item factor analysis.
    Zhang S; Chen Y; Liu Y
    Br J Math Stat Psychol; 2020 Feb; 73(1):44-71. PubMed ID: 30511445
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Latent variable sdelection in multidimensional item response theory models using the expectation model selection algorithm.
    Xu PF; Shang L; Zheng QZ; Shan N; Tang ML
    Br J Math Stat Psychol; 2022 May; 75(2):363-394. PubMed ID: 34918834
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Quadratic penalty method for intensity-based deformable image registration and 4DCT lung motion recovery.
    Castillo E
    Med Phys; 2019 May; 46(5):2194-2203. PubMed ID: 30801729
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Regularized Variational Estimation for Exploratory Item Factor Analysis.
    Cho AE; Xiao J; Wang C; Xu G
    Psychometrika; 2024 Mar; 89(1):347-375. PubMed ID: 35831697
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A stochastic approximation expectation maximization algorithm for estimating Ramsay-curve three-parameter normal ogive model with non-normal latent trait distributions.
    Cui Y; Lu J; Zhang J; Shi N; Liu J; Meng X
    Front Psychol; 2022; 13():971126. PubMed ID: 36506999
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Robust Measurement via A Fused Latent and Graphical Item Response Theory Model.
    Chen Y; Li X; Liu J; Ying Z
    Psychometrika; 2018 Sep; 83(3):538-562. PubMed ID: 29532405
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models.
    Wang C; Zhu R; Xu G
    Multivariate Behav Res; 2023; 58(2):387-407. PubMed ID: 35086405
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sparse Logistic Regression With
    Chen DW; Miao R; Deng ZY; Lu YY; Liang Y; Huang L
    Front Neuroinform; 2020; 14():29. PubMed ID: 32848688
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Gaussian variational estimation for multidimensional item response theory.
    Cho AE; Wang C; Zhang X; Xu G
    Br J Math Stat Psychol; 2021 Jul; 74 Suppl 1():52-85. PubMed ID: 33064318
    [TBL] [Abstract][Full Text] [Related]  

  • 14. LASSO-Based Pattern Recognition for Replenished Items With Graded Responses in Multidimensional Computerized Adaptive Testing.
    Sun J; Ye Z; Ren L; Li J
    Front Psychol; 2022; 13():881853. PubMed ID: 35783773
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Mixture IRT Model With a Higher-Order Structure for Latent Traits.
    Huang HY
    Educ Psychol Meas; 2017 Apr; 77(2):275-304. PubMed ID: 29795914
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accelerating L1-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models.
    Shang L; Xu PF; Shan N; Tang ML; Ho GT
    PLoS One; 2023; 18(1):e0279918. PubMed ID: 36649269
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficient methods for overlapping group lasso.
    Yuan L; Liu J; Ye J
    IEEE Trans Pattern Anal Mach Intell; 2013 Sep; 35(9):2104-16. PubMed ID: 23868773
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Hierarchical Multi-Unidimensional IRT Approach for Analyzing Sparse, Multi-Group Data for Integrative Data Analysis.
    Huo Y; de la Torre J; Mun EY; Kim SY; Ray AE; Jiao Y; White HR
    Psychometrika; 2015 Sep; 80(3):834-55. PubMed ID: 25265910
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rasch Model Parameter Estimation in the Presence of a Nonnormal Latent Trait Using a Nonparametric Bayesian Approach.
    Finch H; Edwards JM
    Educ Psychol Meas; 2016 Aug; 76(4):662-684. PubMed ID: 29795882
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian Inference for IRT Models with Non-Normal Latent Trait Distributions.
    Zhang X; Wang C; Weiss DJ; Tao J
    Multivariate Behav Res; 2021; 56(5):703-723. PubMed ID: 32598188
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.