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Research Article

Evaluating Statistical Methods Using Plasmode Data Sets in the Age of Massive Public Databases: An Illustration Using False Discovery Rates

  • Gary L. Gadbury,

    Affiliations: Department of Statistics, Kansas State University, Manhattan, Kansas, United States of America, Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla, Missouri, United States of America, Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • Qinfang Xiang,

    Affiliation: Endo Pharmaceuticals, Chadds Ford, Pennsylvania, United States of America

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  • Lin Yang,

    Affiliation: Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla, Missouri, United States of America

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  • Stephen Barnes,

    Affiliations: Department of Pharmacology and Toxicology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America, Center for Nutrient–Gene Interaction, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • Grier P. Page,

    Affiliation: Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • David B. Allison mail

    dallison@ms.soph.uab.edu

    Affiliations: Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, United States of America, Clinical Nutrition Research Center, University of Alabama at Birmingham, Birmingham, Alabama, United States of America

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  • Published: June 20, 2008
  • DOI: 10.1371/journal.pgen.1000098

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