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      Power and sample-size estimation for microbiome studies using pairwise distances and PERMANOVA.

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          Abstract

          The variation in community composition between microbiome samples, termed beta diversity, can be measured by pairwise distance based on either presence-absence or quantitative species abundance data. PERMANOVA, a permutation-based extension of multivariate analysis of variance to a matrix of pairwise distances, partitions within-group and between-group distances to permit assessment of the effect of an exposure or intervention (grouping factor) upon the sampled microbiome. Within-group distance and exposure/intervention effect size must be accurately modeled to estimate statistical power for a microbiome study that will be analyzed with pairwise distances and PERMANOVA.

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          Author and article information

          Journal
          Bioinformatics
          Bioinformatics (Oxford, England)
          1367-4811
          1367-4803
          Aug 1 2015
          : 31
          : 15
          Affiliations
          [1 ] Department of Medicine.
          [2 ] Department of Microbiology and.
          [3 ] Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
          Article
          btv183
          10.1093/bioinformatics/btv183
          25819674
          8cbace87-776d-498a-ad4d-589e8a666853
          © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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