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 *

166 related articles for article (PubMed ID: 31270794)

  • 1. A randomization test wrapper for synthesizing single-case experiments using multilevel models: A Monte Carlo simulation study.
    Michiels B; Tanious R; De TK; Onghena P
    Behav Res Methods; 2020 Apr; 52(2):654-666. PubMed ID: 31270794
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Effect Partitioning in Cross-Sectionally Clustered Data Without Multilevel Models.
    McNeish D
    Multivariate Behav Res; 2019; 54(6):906-925. PubMed ID: 31021178
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accounting for Heteroskedasticity Resulting from Between-Group Differences in Multilevel Models.
    Huang FL; Wiedermann W; Zhang B
    Multivariate Behav Res; 2023; 58(3):637-657. PubMed ID: 35687513
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The conditional power of randomization tests for single-case effect sizes in designs with randomized treatment order: A Monte Carlo simulation study.
    Michiels B; Heyvaert M; Onghena P
    Behav Res Methods; 2018 Apr; 50(2):557-575. PubMed ID: 28389851
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The Permutation Distancing Test for dependent single-case observational AB-phase design data: A Monte Carlo simulation study.
    Vroegindeweij A; Nijhof LN; Onghena P; van de Putte EM; Nijhof SL; Houtveen J
    Behav Res Methods; 2024 Mar; 56(3):2569-2580. PubMed ID: 37528291
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimation and statistical inferences of variance components in the analysis of single-case experimental design using multilevel modeling.
    Li H; Luo W; Baek E; Thompson CG; Lam KH
    Behav Res Methods; 2022 Aug; 54(4):1559-1579. PubMed ID: 34508288
    [TBL] [Abstract][Full Text] [Related]  

  • 8. On the use of randomization tests following adaptive designs.
    Galbete A; Rosenberger WF
    J Biopharm Stat; 2016; 26(3):466-74. PubMed ID: 26043105
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modelling correlated data: Multilevel models and generalized estimating equations and their use with data from research in developmental disabilities.
    Vagenas D; Totsika V
    Res Dev Disabil; 2018 Oct; 81():1-11. PubMed ID: 29786528
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Conditional Monte Carlo randomization tests for regression models.
    Parhat P; Rosenberger WF; Diao G
    Stat Med; 2014 Aug; 33(18):3078-88. PubMed ID: 24648378
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An evaluation of constrained randomization for the design and analysis of group-randomized trials with binary outcomes.
    Li F; Turner EL; Heagerty PJ; Murray DM; Vollmer WM; DeLong ER
    Stat Med; 2017 Oct; 36(24):3791-3806. PubMed ID: 28786223
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The relationship between multilevel models and non-parametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticity.
    Rights JD; Sterba SK
    Br J Math Stat Psychol; 2016 Nov; 69(3):316-343. PubMed ID: 27458827
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Synthesizing single-case studies: a Monte Carlo examination of a three-level meta-analytic model.
    Owens CM; Ferron JM
    Behav Res Methods; 2012 Sep; 44(3):795-805. PubMed ID: 22180105
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Randomization tests for multiarmed randomized clinical trials.
    Wang Y; Rosenberger WF; Uschner D
    Stat Med; 2020 Feb; 39(4):494-509. PubMed ID: 31846110
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Advantages of permutation (randomization) tests in clinical and experimental pharmacology and physiology.
    Ludbrook J
    Clin Exp Pharmacol Physiol; 1994 Sep; 21(9):673-86. PubMed ID: 7820947
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Location tests for biomarker studies: a comparison using simulations for the two-sample case.
    Scheinhardt MO; Ziegler A
    Methods Inf Med; 2013; 52(4):351-9. PubMed ID: 23877617
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cross-classified multilevel models improved standard error estimates of covariates in clinical outcomes - a simulation study.
    Doedens P; Ter Riet G; Boyette LL; Latour C; de Haan L; Twisk J
    J Clin Epidemiol; 2022 May; 145():39-46. PubMed ID: 35065230
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Randomization-based inference in the presence of selection bias.
    Uschner D
    Stat Med; 2021 Apr; 40(9):2212-2229. PubMed ID: 33561882
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Type I error rates and power of two randomization test procedures for the changing criterion design.
    Manolov R; Tanious R
    Behav Res Methods; 2024 Apr; 56(4):3637-3657. PubMed ID: 38082114
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating individual treatment effects from multiple-baseline data: a Monte Carlo study of multilevel-modeling approaches.
    Ferron JM; Farmer JL; Owens CM
    Behav Res Methods; 2010 Nov; 42(4):930-43. PubMed ID: 21139160
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.