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 *

159 related articles for article (PubMed ID: 24234337)

  • 21. The choice of product indicators in latent variable interaction models: post hoc analyses.
    Foldnes N; Hagtvet KA
    Psychol Methods; 2014 Sep; 19(3):444-57. PubMed ID: 24773360
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Evaluating fit indices in a multilevel latent growth curve model: A Monte Carlo study.
    Hsu HY; Lin JJH; Skidmore ST; Kim M
    Behav Res Methods; 2019 Feb; 51(1):172-194. PubMed ID: 30536150
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Accounting for response misclassification and covariate measurement error improves power and reduces bias in epidemiologic studies.
    Cheng D; Branscum AJ; Stamey JD
    Ann Epidemiol; 2010 Jul; 20(7):562-7. PubMed ID: 20538200
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A Monte Carlo evaluation of tests for comparing dependent correlations.
    Hittner JB; May K; Silver NC
    J Gen Psychol; 2003 Apr; 130(2):149-68. PubMed ID: 12773018
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Four applications of permutation methods to testing a single-mediator model.
    Taylor AB; MacKinnon DP
    Behav Res Methods; 2012 Sep; 44(3):806-44. PubMed ID: 22311738
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Ezekiel's classic estimator of the population squared multiple correlation coefficient: Monte Carlo-based extensions and refinements.
    Hittner JB
    J Gen Psychol; 2020; 147(3):213-227. PubMed ID: 31648628
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Precision, Reliability, and Effect Size of Slope Variance in Latent Growth Curve Models: Implications for Statistical Power Analysis.
    Brandmaier AM; von Oertzen T; Ghisletta P; Lindenberger U; Hertzog C
    Front Psychol; 2018; 9():294. PubMed ID: 29755377
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Sample size and power calculations for medical studies by simulation when closed form expressions are not available.
    Landau S; Stahl D
    Stat Methods Med Res; 2013 Jun; 22(3):324-45. PubMed ID: 22491174
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Least sum of Euclidean regression residuals: estimation of effect size.
    Berry KJ; Mielke PW
    Psychol Rep; 2002 Dec; 91(3 Pt 1):955-62. PubMed ID: 12530751
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Effect size, statistical power, and sample size for assessing interactions between categorical and continuous variables.
    Shieh G
    Br J Math Stat Psychol; 2019 Feb; 72(1):136-154. PubMed ID: 30468259
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The number of subjects per variable required in linear regression analyses.
    Austin PC; Steyerberg EW
    J Clin Epidemiol; 2015 Jun; 68(6):627-36. PubMed ID: 25704724
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Optimal study design with identical power: an application of power equivalence to latent growth curve models.
    von Oertzen T; Brandmaier AM
    Psychol Aging; 2013 Jun; 28(2):414-28. PubMed ID: 23586357
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Should we rely on the Kenward-Roger approximation when using linear mixed models if the groups have different distributions?
    Arnau J; Bendayan R; Blanca MJ; Bono R
    Br J Math Stat Psychol; 2014 Nov; 67(3):408-29. PubMed ID: 24028625
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Accelerating Monte Carlo power studies through parametric power estimation.
    Ueckert S; Karlsson MO; Hooker AC
    J Pharmacokinet Pharmacodyn; 2016 Apr; 43(2):223-34. PubMed ID: 26934878
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Estimating standardized linear contrasts of means with desired precision.
    Bonett DG
    Psychol Methods; 2009 Mar; 14(1):1-5. PubMed ID: 19271844
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Statistical power analysis for growth curve models using SAS.
    Zhang Z; Wang L
    Behav Res Methods; 2009 Nov; 41(4):1083-94. PubMed ID: 19897816
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Effects of sources of variability on sample sizes required for RCTs, applied to trials of lipid-altering therapies on carotid artery intima-media thickness.
    Gould AL; Koglin J; Bain RP; Pinto CA; Mitchel YB; Pasternak RC; Sapre A
    Clin Trials; 2009 Aug; 6(4):305-19. PubMed ID: 19667027
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Using Lancaster's mid-P correction to the Fisher's exact test for adverse impact analyses.
    Biddle DA; Morris SB
    J Appl Psychol; 2011 Sep; 96(5):956-65. PubMed ID: 21688881
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Using analysis of covariance (ANCOVA) with fallible covariates.
    Culpepper SA; Aguinis H
    Psychol Methods; 2011 Jun; 16(2):166-78. PubMed ID: 21517178
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.