A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes

DOI10.1214/20-AOAS1354zbMath1470.62159arXiv2004.14817MaRDI QIDQ2044272

Matthew D. Koslovsky, Carrie R. Daniel, Kristi L. Hoffman, Marina Vannucci

Publication date: 4 August 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.14817

zbMATH Keywords

predictionBayesian statisticsvariable selectionjoint modelingmultivariate count data

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (2)

Correction to: ``A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes ⋮ Subject-specific Dirichlet-multinomial regression for multi-district microbiota data analysis

Uses Software

• Rcpp
• RcppArmadillo
• loo
• UPARSE
• PhyloScan

Cites Work

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