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 *

164 related articles for article (PubMed ID: 27604952)

  • 1. Confidence intervals for the between-study variance in random-effects meta-analysis using generalised heterogeneity statistics: should we use unequal tails?
    Jackson D; Bowden J
    BMC Med Res Methodol; 2016 Sep; 16(1):118. PubMed ID: 27604952
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models.
    Jackson D; Turner R; Rhodes K; Viechtbauer W
    BMC Med Res Methodol; 2014 Sep; 14():103. PubMed ID: 25196829
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Confidence intervals for the between-study variance in random effects meta-analysis using generalised Cochran heterogeneity statistics.
    Jackson D
    Res Synth Methods; 2013 Sep; 4(3):220-9. PubMed ID: 26053842
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Methods to estimate the between-study variance and its uncertainty in meta-analysis.
    Veroniki AA; Jackson D; Viechtbauer W; Bender R; Bowden J; Knapp G; Kuss O; Higgins JP; Langan D; Salanti G
    Res Synth Methods; 2016 Mar; 7(1):55-79. PubMed ID: 26332144
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Likelihood-based random-effects meta-analysis with few studies: empirical and simulation studies.
    Seide SE; Röver C; Friede T
    BMC Med Res Methodol; 2019 Jan; 19(1):16. PubMed ID: 30634920
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Statistical properties of methods based on the Q-statistic for constructing a confidence interval for the between-study variance in meta-analysis.
    van Aert RCM; van Assen MALM; Viechtbauer W
    Res Synth Methods; 2019 Jun; 10(2):225-239. PubMed ID: 30589219
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Confidence intervals for random effects meta-analysis and robustness to publication bias.
    Henmi M; Copas JB
    Stat Med; 2010 Dec; 29(29):2969-83. PubMed ID: 20963748
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Approximate confidence intervals for moment-based estimators of the between-study variance in random effects meta-analysis.
    Jackson D; Bowden J; Baker R
    Res Synth Methods; 2015 Dec; 6(4):372-82. PubMed ID: 26287958
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Confidence intervals for the amount of heterogeneity in meta-analysis.
    Viechtbauer W
    Stat Med; 2007 Jan; 26(1):37-52. PubMed ID: 16463355
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accurate confidence intervals for risk difference in meta-analysis with rare events.
    Jiang T; Cao B; Shan G
    BMC Med Res Methodol; 2020 Apr; 20(1):98. PubMed ID: 32349702
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Methods to calculate uncertainty in the estimated overall effect size from a random-effects meta-analysis.
    Veroniki AA; Jackson D; Bender R; Kuss O; Langan D; Higgins JPT; Knapp G; Salanti G
    Res Synth Methods; 2019 Mar; 10(1):23-43. PubMed ID: 30129707
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Confidence intervals for the mean of lognormal data with excess zeros.
    Tian L; Wu J
    Biom J; 2006 Feb; 48(1):149-56. PubMed ID: 16544820
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Random effects meta-analysis: Coverage performance of 95% confidence and prediction intervals following REML estimation.
    Partlett C; Riley RD
    Stat Med; 2017 Jan; 36(2):301-317. PubMed ID: 27714841
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Permutation inference methods for multivariate meta-analysis.
    Noma H; Nagashima K; Furukawa TA
    Biometrics; 2020 Mar; 76(1):337-347. PubMed ID: 31399994
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Sharp simultaneous confidence intervals for the means of selected populations with application to microarray data analysis.
    Qiu J; Hwang JT
    Biometrics; 2007 Sep; 63(3):767-76. PubMed ID: 17403105
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparison of methods for meta-analysis of a small number of studies with binary outcomes.
    Mathes T; Kuss O
    Res Synth Methods; 2018 Sep; 9(3):366-381. PubMed ID: 29573180
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comparison of heterogeneity variance estimators in simulated random-effects meta-analyses.
    Langan D; Higgins JPT; Jackson D; Bowden J; Veroniki AA; Kontopantelis E; Viechtbauer W; Simmonds M
    Res Synth Methods; 2019 Mar; 10(1):83-98. PubMed ID: 30067315
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The exact distribution of Cochran's heterogeneity statistic in one-way random effects meta-analysis.
    Biggerstaff BJ; Jackson D
    Stat Med; 2008 Dec; 27(29):6093-110. PubMed ID: 18781561
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Confidence intervals for heterogeneity measures in meta-analysis.
    Takkouche B; Khudyakov P; Costa-Bouzas J; Spiegelman D
    Am J Epidemiol; 2013 Sep; 178(6):993-1004. PubMed ID: 23921232
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Jackknife empirical likelihood confidence intervals for assessing heterogeneity in meta-analysis of rare binary event data.
    Wang G; Cheng Y; Chen M; Wang X
    Contemp Clin Trials; 2021 Aug; 107():106440. PubMed ID: 34015509
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.