Fig. 2From: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome dataSimulated data: Marginal posterior probabilities of inclusion (PPI) for each coefficient β jp, j=1,…,50, p=1,…,50, describing the association between each taxa and each covariate. Each PPI is obtained by averaging the number of times that each taxa/covariate association is included across the MCMC iterations, after burn-in. The true associations are indicated as red dots Back to article page