BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 15506860)

  • 1. Dependent effect sizes in meta-analysis: incorporating the degree of interdependence.
    Cheung SF; Chan DK
    J Appl Psychol; 2004 Oct; 89(5):780-91. PubMed ID: 15506860
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A test for publication bias in meta-analysis with sparse binary data.
    Schwarzer G; Antes G; Schumacher M
    Stat Med; 2007 Feb; 26(4):721-33. PubMed ID: 16755545
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Assessing heterogeneity in meta-analysis: Q statistic or I2 index?
    Huedo-Medina TB; Sánchez-Meca J; Marín-Martínez F; Botella J
    Psychol Methods; 2006 Jun; 11(2):193-206. PubMed ID: 16784338
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Meta-analyzing dependent correlations with correction for artifacts that multiplicatively attenuate the true correlation.
    Cheung SF; Chan DK; Sun RW
    Behav Res Methods; 2019 Apr; 51(2):793-810. PubMed ID: 30136040
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling.
    Cheung MW
    Psychol Methods; 2008 Sep; 13(3):182-202. PubMed ID: 18778151
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Four-fold table cell frequencies imputation in meta analysis.
    Di Pietrantonj C
    Stat Med; 2006 Jul; 25(13):2299-322. PubMed ID: 16025540
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of underlying risk as a source of heterogeneity in meta-analyses: a simulation study of Bayesian and frequentist implementations of three models.
    Dohoo I; Stryhn H; Sanchez J
    Prev Vet Med; 2007 Sep; 81(1-3):38-55. PubMed ID: 17477995
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Performance of the trim and fill method in the presence of publication bias and between-study heterogeneity.
    Peters JL; Sutton AJ; Jones DR; Abrams KR; Rushton L
    Stat Med; 2007 Nov; 26(25):4544-62. PubMed ID: 17476644
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Generalized inferences on the overall treatment effect in meta-analysis with normally distributed outcomes.
    Tian L
    Biom J; 2008 Apr; 50(2):237-47. PubMed ID: 18318039
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A comment on sampling error in the standardized mean difference with unequal sample sizes: avoiding potential errors in meta-analytic and primary research.
    Laczo RM; Sackett PR; Bobko P; Cortina JM
    J Appl Psychol; 2005 Jul; 90(4):758-64. PubMed ID: 16060792
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The effects of celeration lines on visual data analysis.
    Normand MP; Bailey JS
    Behav Modif; 2006 May; 30(3):295-314. PubMed ID: 16574816
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On tests of the overall treatment effect in meta-analysis with normally distributed responses.
    Hartung J; Knapp G
    Stat Med; 2001 Jun; 20(12):1771-82. PubMed ID: 11406840
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Size of treatment effects and their importance to clinical research and practice.
    Kraemer HC; Kupfer DJ
    Biol Psychiatry; 2006 Jun; 59(11):990-6. PubMed ID: 16368078
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improved Fisher z estimators for univariate random-effects meta-analysis of correlations.
    Hafdahl AR
    Br J Math Stat Psychol; 2009 May; 62(Pt 2):233-61. PubMed ID: 18257972
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Meta-analyzing dependent correlations: an SPSS macro and an R script.
    Cheung SF; Chan DK
    Behav Res Methods; 2014 Jun; 46(2):331-45. PubMed ID: 24197709
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A simulation study comparing properties of heterogeneity measures in meta-analyses.
    Mittlböck M; Heinzl H
    Stat Med; 2006 Dec; 25(24):4321-33. PubMed ID: 16991104
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Confidence intervals for the overall effect size in random-effects meta-analysis.
    Sánchez-Meca J; Marín-Martínez F
    Psychol Methods; 2008 Mar; 13(1):31-48. PubMed ID: 18331152
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Applying the law of iterated logarithm to control type I error in cumulative meta-analysis of binary outcomes.
    Hu M; Cappelleri JC; Lan KK
    Clin Trials; 2007; 4(4):329-40. PubMed ID: 17848494
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Synthesizer 1.0: a varying-coefficient meta-analytic tool.
    Krizan Z
    Behav Res Methods; 2010 Aug; 42(3):863-70. PubMed ID: 20805608
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Meta-analytic interval estimation for standardized and unstandardized mean differences.
    Bonett DG
    Psychol Methods; 2009 Sep; 14(3):225-38. PubMed ID: 19719359
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.