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Table 2 Simulated data: sensitivity analysis for varying values of the prior expected value of p pj , m, and the slab variance \(r^{2}_{pj}\), and for two different scenarios, characterized by different values of the dispersion parameter ψ

From: An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data

  m=0.005 m=0.01 m=0.05
  \(r_{pj}^{2} = 1\) \(r_{pj}^{2} = 10\) \(r_{pj}^{2} = 100\) \(r_{pj}^{2} = 1\) \(r_{pj}^{2} = 10\) \(r_{pj}^{2} = 100\) \(r_{pj}^{2} = 1\) \(r_{pj}^{2} = 10\) \(r_{pj}^{2} = 100\)
ψ=0.01          
MCC 0.69 0.93 0.96 0.69 0.93 0.95 0.69 0.93 0.95
FPR 0.01 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.00
FNR 0.02 0.04 0.08 0.02 0.05 0.09 0.02 0.05 0.08
Accuracy 0.99 1.00 1.00 0.99 1.00 1.00 0.99 1.00 1.00
AUC 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
ψ=0.1          
MCC 0.53 0.73 0.72 0.53 0.73 0.71 0.52 0.73 0.72
FPR 0.01 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.00
FNR 0.26 0.37 0.46 0.26 0.37 0.47 0.26 0.37 0.47
Accuracy 0.99 1.00 1.00 0.99 1.00 1.00 0.99 1.00 1.00
AUC 0.96 0.96 0.93 0.96 0.96 0.93 0.95 0.95 0.93
  1. Values are averages over 30 replicates
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