Fig. 1
From: Bayesian compositional generalized linear mixed models for disease prediction using microbiome data
Deviance comparison among the three methods in various scenarios for continuous outcomes. BCGLMM considers both the sample-related random effect and predictor correlations simultaneously, BCGLM focuses solely on predictor correlations, and BGLM ignores both the random effect and predictor correlations