Title: A web application for sample size and power calculation in case-control microbiome studies
Authors: Mattiello, Federico ×
Verbist, Bie
Faust, Karoline
Raes, Jeroen
Shannon, William D
Bijnens, Luc
Thas, Olivier #
Issue Date: Jul-2016
Publisher: Oxford University Press
Series Title: Bioinformatics vol:32 pages:2038-2040
Article number: btw099
Abstract: : When designing a case-control study to investigate differences in microbial composition, it is fundamental to assess the sample sizes needed to detect an hypothesized difference with sufficient statistical power. Our application includes power calculation for (i) a recoded version of the two-sample generalized Wald test of the 'HMP' R-package for comparing community composition, and (ii) the Wilcoxon-Mann-Whitney test for comparing operational taxonomic unit-specific abundances between two samples (optional). The simulation-based power calculations make use of the Dirichlet-Multinomial model to describe and generate abundances. The web interface allows for easy specification of sample and effect sizes. As an illustration of our application, we compared the statistical power of the two tests, with and without stratification of samples. We observed that statistical power increases considerably when stratification is employed, meaning that less samples are needed to detect the same effect size with the same power.
ISSN: 1367-4803
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Laboratory of Molecular Bacteriology (Rega Institute)
Faculty of Bioscience Engineering
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
2016113.pdf Published 72KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science