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: 29635962)

  • 1. An omnibus test for the global null hypothesis.
    Futschik A; Taus T; Zehetmayer S
    Stat Methods Med Res; 2019 Aug; 28(8):2292-2304. PubMed ID: 29635962
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Null hypothesis significance testing and effect sizes: can we 'effect' everything … or … anything?
    Lovell DP
    Curr Opin Pharmacol; 2020 Apr; 51():68-77. PubMed ID: 31948894
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Resampling-based multiple hypothesis testing procedures for genetic case-control association studies.
    Chen BE; Sakoda LC; Hsing AW; Rosenberg PS
    Genet Epidemiol; 2006 Sep; 30(6):495-507. PubMed ID: 16755536
    [TBL] [Abstract][Full Text] [Related]  

  • 4. On generalized Simes critical constants.
    Gou J; Tamhane AC
    Biom J; 2014 Nov; 56(6):1035-54. PubMed ID: 25231605
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multiplicity-calibrated Bayesian hypothesis tests.
    Guo M; Heitjan DF
    Biostatistics; 2010 Jul; 11(3):473-83. PubMed ID: 20212321
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Omnibus permutation tests of the overall null hypothesis in datasets with many covariates.
    Potter DM; Griffiths DJ
    J Biopharm Stat; 2006 May; 16(3):327-41. PubMed ID: 16724488
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The multiple-comparison trap and the Raven's paradox-perils of using null hypothesis testing in environmental assessment.
    Qian SS; Cuffney TF
    Environ Monit Assess; 2018 Jun; 190(7):409. PubMed ID: 29916087
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A powerful truncated tail strength method for testing multiple null hypotheses in one dataset.
    Jiang B; Zhang X; Zuo Y; Kang G
    J Theor Biol; 2011 May; 277(1):67-73. PubMed ID: 21295595
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantile-function based null distribution in resampling based multiple testing.
    van der Laan MJ; Hubbard AE
    Stat Appl Genet Mol Biol; 2006; 5():Article14. PubMed ID: 17049025
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Trimmed weighted Simes' test for two one-sided hypotheses with arbitrarily correlated test statistics.
    Brannath W; Bretz F; Maurer W; Sarkar S
    Biom J; 2009 Dec; 51(6):885-98. PubMed ID: 20014203
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A method to increase the power of multiple testing procedures through sample splitting.
    Rubin D; Dudoit S; van der Laan M
    Stat Appl Genet Mol Biol; 2006; 5():Article19. PubMed ID: 17049030
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A region-based multiple testing method for hypotheses ordered in space or time.
    Meijer RJ; Krebs TJ; Goeman JJ
    Stat Appl Genet Mol Biol; 2015 Feb; 14(1):1-19. PubMed ID: 25525753
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian models based on test statistics for multiple hypothesis testing problems.
    Ji Y; Lu Y; Mills GB
    Bioinformatics; 2008 Apr; 24(7):943-9. PubMed ID: 18245123
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures.
    Lu X; Perkins DL
    BMC Bioinformatics; 2007 May; 8():157. PubMed ID: 17509157
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of methods for estimating the number of true null hypotheses in multiplicity testing.
    Hsueh HM; Chen JJ; Kodell RL
    J Biopharm Stat; 2003 Nov; 13(4):675-89. PubMed ID: 14584715
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Omnibus permutation tests of the association of an ensemble of genetic markers with disease in case-control studies.
    Potter DM
    Genet Epidemiol; 2006 Jul; 30(5):438-46. PubMed ID: 16671109
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Testing for negligible interaction: A coherent and robust approach.
    Cribbie RA; Ragoonanan C; Counsell A
    Br J Math Stat Psychol; 2016 May; 69(2):159-74. PubMed ID: 27022015
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Gaining power in multiple testing of interval hypotheses via conditionalization.
    Ellis JL; Pecanka J; Goeman JJ
    Biostatistics; 2020 Apr; 21(2):e65-e79. PubMed ID: 30247521
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Empirically adjusted fixed-effects meta-analysis methods in genomic studies.
    Jayanetti WT; Sikdar S
    Stat Appl Genet Mol Biol; 2024 Jan; 23(1):. PubMed ID: 39340124
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adaptive Designs with Discrete Test Statistics and Consideration of Overrunning.
    Schmidt R; Burkhardt B; Faldum A
    Methods Inf Med; 2015; 54(5):434-46. PubMed ID: 26429500
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.