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: 25096365)

  • 1. How General is the Vale-Maurelli Simulation Approach?
    Foldnes N; Grønneberg S
    Psychometrika; 2015 Dec; 80(4):1066-83. PubMed ID: 25096365
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Problem with Discretizing Vale-Maurelli in Simulation Studies.
    Grønneberg S; Foldnes N
    Psychometrika; 2019 Jun; 84(2):554-561. PubMed ID: 30838499
    [TBL] [Abstract][Full Text] [Related]  

  • 3. On the solution multiplicity of the Fleishman method and its impact in simulation studies.
    Olvera Astivia OL; Zumbo BD
    Br J Math Stat Psychol; 2018 Nov; 71(3):437-458. PubMed ID: 29323414
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Simple Simulation Technique for Nonnormal Data with Prespecified Skewness, Kurtosis, and Covariance Matrix.
    Foldnes N; Olsson UH
    Multivariate Behav Res; 2016; 51(2-3):207-19. PubMed ID: 27014851
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Sphericity estimation bias for repeated measures designs in simulation studies.
    Bono R; Arnau J; Blanca MJ; Alarcón R
    Behav Res Methods; 2016 Dec; 48(4):1621-1630. PubMed ID: 26489849
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Population models and simulation methods: The case of the Spearman rank correlation.
    Astivia OLO; Zumbo BD
    Br J Math Stat Psychol; 2017 Nov; 70(3):347-367. PubMed ID: 28140458
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Asymptotic confidence intervals for the Pearson correlation via skewness and kurtosis.
    Bishara AJ; Li J; Nash T
    Br J Math Stat Psychol; 2018 Feb; 71(1):167-185. PubMed ID: 28872186
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Copula based prediction models: an application to an aortic regurgitation study.
    Kumar P; Shoukri MM
    BMC Med Res Methodol; 2007 Jun; 7():21. PubMed ID: 17573974
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian semiparametric copula estimation with application to psychiatric genetics.
    Rosen O; Thompson WK
    Biom J; 2015 May; 57(3):468-84. PubMed ID: 25664559
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Factor copula models for item response data.
    Nikoloulopoulos AK; Joe H
    Psychometrika; 2015 Mar; 80(1):126-50. PubMed ID: 24297437
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Coupled Monte Carlo simulation and Copula theory for uncertainty analysis of multiphase flow simulation models.
    Jiang X; Na J; Lu W; Zhang Y
    Environ Sci Pollut Res Int; 2017 Nov; 24(31):24284-24296. PubMed ID: 28889205
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Copula Approach to Joint Modeling of Longitudinal Measurements and Survival Times Using Monte Carlo Expectation-Maximization with Application to AIDS Studies.
    Ganjali M; Baghfalaki T
    J Biopharm Stat; 2015; 25(5):1077-99. PubMed ID: 25372017
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MAXIMUM LIKELIHOOD ESTIMATION OF GAUSSIAN COPULA MODELS FOR GEOSTATISTICAL COUNT DATA.
    Han Z; De Oliveira V
    Commun Stat Simul Comput; 2020; 49(8):1957-1981. PubMed ID: 33012963
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Monte Carlo modeling of spatial coherence: free-space diffraction.
    Fischer DG; Prahl SA; Duncan DD
    J Opt Soc Am A Opt Image Sci Vis; 2008 Oct; 25(10):2571-81. PubMed ID: 18830335
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bayesian variable selection for non-Gaussian responses: a marginally calibrated copula approach.
    Klein N; Smith MS
    Biometrics; 2021 Sep; 77(3):809-823. PubMed ID: 32818303
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Investigation of different boundary treatment methods in Monte-Carlo simulations of diffusion NMR.
    Xing H; Lin F; Wu Q; Gong Q
    Magn Reson Med; 2013 Oct; 70(4):1167-72. PubMed ID: 23169149
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Simulating multivariate g-and-h distributions.
    Kowalchuk RK; Headrick TC
    Br J Math Stat Psychol; 2010 Feb; 63(Pt 1):63-74. PubMed ID: 19358745
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.