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 *

151 related articles for article (PubMed ID: 33738686)

  • 1. Estimating Structural Equation Models Using James-Stein Type Shrinkage Estimators.
    Burghgraeve E; De Neve J; Rosseel Y
    Psychometrika; 2021 Mar; 86(1):96-130. PubMed ID: 33738686
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Model Implied Instrumental Variables (MIIVs): An Alternative Orientation to Structural Equation Modeling.
    Bollen KA
    Multivariate Behav Res; 2019; 54(1):31-46. PubMed ID: 30222004
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stein-type shrinkage estimators in gamma regression model with application to prostate cancer data.
    Mandal S; Arabi Belaghi R; Mahmoudi A; Aminnejad M
    Stat Med; 2019 Sep; 38(22):4310-4322. PubMed ID: 31317564
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Model-implied instrumental variable-generalized method of moments (MIIV-GMM) estimators for latent variable models.
    Bollen KA; Kolenikov S; Bauldry S
    Psychometrika; 2014 Jan; 79(1):20-50. PubMed ID: 24532165
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations.
    Fisher ZF; Bollen KA
    Psychometrika; 2020 Sep; 85(3):660-683. PubMed ID: 32833145
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A two-step estimator for multilevel latent class analysis with covariates.
    Di Mari R; Bakk Z; Oser J; Kuha J
    Psychometrika; 2023 Dec; 88(4):1144-1170. PubMed ID: 37544973
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices.
    Yang CH; Doss H; Vemuri BC
    J Am Stat Assoc; 2024; 119(545):259-272. PubMed ID: 38590837
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayes shrinkage estimator for consistency assessment of treatment effects in multi-regional clinical trials.
    Adall SW; Xu J
    Pharm Stat; 2021 Nov; 20(6):1074-1087. PubMed ID: 33942469
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A two-stage estimation procedure for non-linear structural equation models.
    Holst KK; Budtz-Jørgensen E
    Biostatistics; 2020 Oct; 21(4):676-691. PubMed ID: 30698649
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparing estimators for latent interaction models under structural and distributional misspecifications.
    Brandt H; Umbach N; Kelava A; Bollen KA
    Psychol Methods; 2020 Jun; 25(3):321-345. PubMed ID: 31670539
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A unified model-implied instrumental variable approach for structural equation modeling with mixed variables.
    Jin S; Yang-Wallentin F; Bollen KA
    Psychometrika; 2021 Jun; 86(2):564-594. PubMed ID: 34097200
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SURE Estimates for a Heteroscedastic Hierarchical Model.
    Xie X; Kou SC; Brown LD
    J Am Stat Assoc; 2012 Dec; 107(500):1465-1479. PubMed ID: 25301976
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new class of efficient and debiased two-step shrinkage estimators: method and application.
    Qasim M; Månsson K; Sjölander P; Kibria BMG
    J Appl Stat; 2022; 49(16):4181-4205. PubMed ID: 36353298
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improving prediction of linear regression models by integrating external information from heterogeneous populations: James-Stein estimators.
    Han P; Li H; Park SK; Mukherjee B; Taylor JMG
    Biometrics; 2024 Jul; 80(3):. PubMed ID: 39101548
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Erratum to: Estimating Structural Equation Models Using James-Stein Type Shrinkage Estimators.
    Burghgraeve E; De Neve J; Rosseel Y
    Psychometrika; 2021 Jun; 86(2):668. PubMed ID: 33954902
    [No Abstract]   [Full Text] [Related]  

  • 16. Shrinkage estimators for covariance matrices.
    Daniels MJ; Kass RE
    Biometrics; 2001 Dec; 57(4):1173-84. PubMed ID: 11764258
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Combining observational and experimental datasets using shrinkage estimators.
    Rosenman ETR; Basse G; Owen AB; Baiocchi M
    Biometrics; 2023 Dec; 79(4):2961-2973. PubMed ID: 36629736
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mining pharmacovigilance data using Bayesian logistic regression with James-Stein type shrinkage estimation.
    An L; Fung KY; Krewski D
    J Biopharm Stat; 2010 Sep; 20(5):998-1012. PubMed ID: 20721787
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation of Large-Dimensional Covariance Matrices via Second-Order Stein-Type Regularization.
    Zhang B; Huang H; Chen J
    Entropy (Basel); 2022 Dec; 25(1):. PubMed ID: 36673194
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-regional clinical trial design and consistency assessment of treatment effects.
    Quan H; Mao X; Chen J; Shih WJ; Ouyang SP; Zhang J; Zhao PL; Binkowitz B
    Stat Med; 2014 Jun; 33(13):2191-205. PubMed ID: 24515845
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.