pcbi.1009442.s002.docx (62.38 kB)
Multivariable association test evaluation.
journal contribution
posted on 2021-11-16, 18:35 authored by Himel Mallick, Ali Rahnavard, Lauren J. McIver, Siyuan Ma, Yancong Zhang, Long H. Nguyen, Timothy L. Tickle, George Weingart, Boyu Ren, Emma H. Schwager, Suvo Chatterjee, Kelsey N. Thompson, Jeremy E. Wilkinson, Ayshwarya Subramanian, Yiren Lu, Levi Waldron, Joseph N. Paulson, Eric A. Franzosa, Hector Corrada Bravo, Curtis HuttenhowerDetails on how each of the methods compared in the Results section are implemented, run on the simulated data, and evaluated using various performance metrics.
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simulation studies revealmultivariable association discoverymodern epidemiological studiesinflated ), highinflammatory bowel diseaseshuman health outcomesg ., countscontrolling false discoveryassess multivariable associationintegrative human microbiomereproducing established resultsscale observational studiesmicrobiome multivariable associationsmicrobial community measurementsmicrobial community featuresmicrobiome multimicrobial multiestablished methodologyscale evaluationrepeated measurementscompositional measurementsassociate featuresomics associationsomics featuresxlink ">without covariatestypically noisystraightforward identificationrepeated measuresrelative abundancesquantitative propertiesoptimized combinationmultiple covariatesmixed modelsmaaslin 2longitudinal designsintegrated landscapeincluding crossextremely nonenvironmental conditionsdata typesbroad range
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