Bayesian variable selection for multivariate zero-inflated models: Application to microbiome count data
Bayesian variable selection for multivariate zero-inflated models: Application to microbiome count data
Summary Microorganisms play critical roles in human health and disease. They live in diverse communities in which they interact synergistically or antagonistically. Thus for estimating microbial associations with clinical covariates, such as treatment effects, joint (multivariate) statistical models are preferred. Multivariate models allow one to estimate and exploit complex interdependencies …