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 *

148 related articles for article (PubMed ID: 34267397)

  • 1. Growth Mixture Modeling With Nonnormal Distributions: Implications for Data Transformation.
    Nam Y; Hong S
    Educ Psychol Meas; 2021 Aug; 81(4):698-727. PubMed ID: 34267397
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Comparison of Different Nonnormal Distributions in Growth Mixture Models.
    Son S; Lee H; Jang Y; Yang J; Hong S
    Educ Psychol Meas; 2019 Jun; 79(3):577-597. PubMed ID: 31105324
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes.
    Kim ES; Wang Y
    Front Psychol; 2017; 8():1499. PubMed ID: 28928691
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Monte Carlo evaluation of growth mixture modeling.
    Shader TM; Beauchaine TP
    Dev Psychopathol; 2022 Oct; 34(4):1604-1617. PubMed ID: 33719983
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Class enumeration false positive in skew-t family of continuous growth mixture models.
    Guerra-Peña K; García-Batista ZE; Depaoli S; Garrido LE
    PLoS One; 2020; 15(4):e0231525. PubMed ID: 32302350
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Skew
    Hohmann L; Holtmann J; Eid M
    Front Psychol; 2018; 9():1323. PubMed ID: 30116209
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Abstract: Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data.
    Tong X; Zhang Z; Yuan KH
    Multivariate Behav Res; 2011 Nov; 46(6):1016. PubMed ID: 26736130
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mixture class recovery in GMM under varying degrees of class separation: frequentist versus Bayesian estimation.
    Depaoli S
    Psychol Methods; 2013 Jun; 18(2):186-219. PubMed ID: 23527607
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparing the Robustness of Stepwise Mixture Modeling With Continuous Nonnormal Distal Outcomes.
    Shin M; No U; Hong S
    Educ Psychol Meas; 2019 Dec; 79(6):1156-1183. PubMed ID: 31619843
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Flexible mixture modeling via the multivariate t distribution with the Box-Cox transformation: an alternative to the skew-t distribution.
    Lo K; Gottardo R
    Stat Comput; 2012 Jan; 22(1):33-52. PubMed ID: 22125375
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Examining Nonnormal Latent Variable Distributions for Non-Ignorable Missing Data.
    Liu CW
    Appl Psychol Meas; 2021 May; 45(3):159-177. PubMed ID: 33958834
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Conditional median-based Bayesian growth mixture modeling for nonnormal data.
    Kim S; Tong X; Zhou J; Boichuk JP
    Behav Res Methods; 2022 Jun; 54(3):1291-1305. PubMed ID: 34590287
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Extracting Spurious Latent Classes in Growth Mixture Modeling With Nonnormal Errors.
    Guerra-Peña K; Steinley D
    Educ Psychol Meas; 2016 Dec; 76(6):933-953. PubMed ID: 29795894
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Simulating Univariate and Multivariate Nonnormal Distributions through the Method of Percentiles.
    Koran J; Headrick TC; Kuo TC
    Multivariate Behav Res; 2015; 50(2):216-32. PubMed ID: 26609879
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Information-Theoretic Aspects of Location Parameter Estimation under Skew-Normal Settings.
    Contreras-Reyes JE
    Entropy (Basel); 2022 Mar; 24(3):. PubMed ID: 35327910
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comparison of multiple imputation strategies to deal with missing nonnormal data in structural equation modeling.
    Jia F; Wu W
    Behav Res Methods; 2023 Sep; 55(6):3100-3119. PubMed ID: 36038813
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares.
    Li CH
    Behav Res Methods; 2016 Sep; 48(3):936-49. PubMed ID: 26174714
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Monte Carlo investigation of the Fisher Z transformation for normal and nonnormal distributions.
    Berry KJ; Mielke PW
    Psychol Rep; 2000 Dec; 87(3 Pt 2):1101-14. PubMed ID: 11272750
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Cautionary Note on the Use of the Vale and Maurelli Method to Generate Multivariate, Nonnormal Data for Simulation Purposes.
    Olvera Astivia OL; Zumbo BD
    Educ Psychol Meas; 2015 Aug; 75(4):541-567. PubMed ID: 29795832
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.