My NCBISign In
RSS Settings
  • Search:

Display Settings:

Format
Items per page
Sort by

Send to:

Choose Destination

    Results: 1 to 20 of 221

    1.

    Permutation - based statistical tests for multiple hypotheses.

    Camargo A, Azuaje F, Wang H, Zheng H.

    Source Code Biol Med. 2008 Oct 21;3:15.PMID: 18939983 [PubMed - in process]Free PMC ArticleFree textRelated citations

    2.

    PRESTO: rapid calculation of order statistic distributions and multiple-testing adjusted P-values via permutation for one and two-stage genetic association studies.

    Browning BL.

    BMC Bioinformatics. 2008 Jul 13;9:309.PMID: 18620604 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    3.

    False discovery rate and permutation test: an evaluation in ERP data analysis.

    Lage-Castellanos A, Martínez-Montes E, Hernández-Cabrera JA, Galán L.

    Stat Med. 2010 Jan 15;29(1):63-74.PMID: 19941298 [PubMed - indexed for MEDLINE]Related citations

    4.

    Quantile-function based null distribution in resampling based multiple testing.

    van der Laan MJ, Hubbard AE.

    Stat Appl Genet Mol Biol. 2006;5:Article14. Epub 2006 May 21.PMID: 17049025 [PubMed - indexed for MEDLINE]Free ArticleRelated citations

    5.

    Controlling the familywise error rate in functional neuroimaging: a comparative review.

    Nichols T, Hayasaka S.

    Stat Methods Med Res. 2003 Oct;12(5):419-46. Review.PMID: 14599004 [PubMed - indexed for MEDLINE]Related citations

    6.

    On the power of some binomial modifications of the Bonferroni multiple test.

    Teriokhin AT, de Meeûs T, Guégan JF.

    Zh Obshch Biol. 2007 Sep-Oct;68(5):332-40.PMID: 18038646 [PubMed - indexed for MEDLINE]Related citations

    7.

    Testing for marginal independence between two categorical variables with multiple responses.

    Bilder CR, Loughin TM.

    Biometrics. 2004 Mar;60(1):241-8.PMID: 15032795 [PubMed - indexed for MEDLINE]Related citations

    8.

    Resampling-based empirical Bayes multiple testing procedures for controlling generalized tail probability and expected value error rates: focus on the false discovery rate and simulation study.

    Dudoit S, Gilbert HN, van der Laan MJ.

    Biom J. 2008 Oct;50(5):716-44.PMID: 18932138 [PubMed - indexed for MEDLINE]Related citations

    9.

    Pros and cons of permutation tests in clinical trials.

    Berger VW.

    Stat Med. 2000 May 30;19(10):1319-28.PMID: 10814980 [PubMed - indexed for MEDLINE]Related citations

    10.

    Multiple comparison procedures updated.

    Ludbrook J.

    Clin Exp Pharmacol Physiol. 1998 Dec;25(12):1032-7. Review.PMID: 9888002 [PubMed - indexed for MEDLINE]Related citations

    11.

    Enabling personal genomics with an explicit test of epistasis.

    Greene CS, Himmelstein DS, Nelson HH, Kelsey KT, Williams SM, Andrew AS, Karagas MR, Moore JH.

    Pac Symp Biocomput. 2010:327-36.PMID: 19908385 [PubMed - in process]Free ArticleRelated citations

    12.

    Pomelo II: finding differentially expressed genes.

    Morrissey ER, Diaz-Uriarte R.

    Nucleic Acids Res. 2009 Jul 1;37(Web Server issue):W581-6. Epub 2009 May 12.PMID: 19435879 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    13.

    A permutation two one-sided tests procedure to detect minimal fold changes of gene expression levels.

    Liu JP, Liao CT, Chiu ST, Dai JY.

    J Biopharm Stat. 2008;18(5):808-26.PMID: 18781518 [PubMed - indexed for MEDLINE]Related citations

    14.

    SDMinP: a program to control the family wise error rate using step-down minP adjusted P-values.

    Obreiter M, Fischer C, Chang-Claude J, Beckmann L.

    Bioinformatics. 2005 Jul 15;21(14):3183-4. Epub 2005 May 6.PMID: 15879457 [PubMed - indexed for MEDLINE]Free ArticleRelated citations

    15.

    Controlling false discoveries in multidimensional directional decisions, with applications to gene expression data on ordered categories.

    Guo W, Sarkar SK, Peddada SD.

    Biometrics. 2010 Jun;66(2):485-92. Epub 2009 Jul 23.PMID: 19645703 [PubMed - in process]Related citations

    16.

    Corra: Computational framework and tools for LC-MS discovery and targeted mass spectrometry-based proteomics.

    Brusniak MY, Bodenmiller B, Campbell D, Cooke K, Eddes J, Garbutt A, Lau H, Letarte S, Mueller LN, Sharma V, Vitek O, Zhang N, Aebersold R, Watts JD.

    BMC Bioinformatics. 2008 Dec 16;9:542.PMID: 19087345 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    17.

    Weighted multiple hypothesis testing procedures.

    Kang G, Ye K, Liu N, Allison DB, Gao G.

    Stat Appl Genet Mol Biol. 2009;8(1):Article23. Epub 2009 Apr 16.PMID: 19409067 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    18.

    Experimental and statistical considerations to avoid false conclusions in proteomics studies using differential in-gel electrophoresis.

    Karp NA, McCormick PS, Russell MR, Lilley KS.

    Mol Cell Proteomics. 2007 Aug;6(8):1354-64. Epub 2007 May 17.PMID: 17513293 [PubMed - indexed for MEDLINE]Free ArticleRelated citations

    19.

    Filtering for increased power for microarray data analysis.

    Hackstadt AJ, Hess AM.

    BMC Bioinformatics. 2009 Jan 8;10:11.PMID: 19133141 [PubMed - indexed for MEDLINE]Free PMC ArticleFree textRelated citations

    20.

    Most powerful permutation invariant tests for relatedness hypotheses using genotypic data.

    Almudevar A.

    Biometrics. 2001 Dec;57(4):1080-8.PMID: 11764247 [PubMed - indexed for MEDLINE]Related citations

    Display Settings:

    Format
    Items per page
    Sort by

    Send to:

    Choose Destination

    Supplemental Content

    Filter your results:

    Find related data

    Recent activity

    Clear Turn Off Turn On

    Your browsing activity is empty.

    Activity recording is turned off.

    Turn recording back on

    See more...
    You are here: NCBI > Literature > PubMed
    Write to the Help Desk