Skip to main content

Table 1 Setting of simulation parameters

From: Network meta-analysis correlates with analysis of merged independent transcriptome expression data

Group/group α g β gj γ ig ρ ig ε ijg
Study 1: Control \(\mathcal {N}(0, 1)\) 0 \(\mathcal {N}(0, 1)\) InvGamma(1,1) \(\mathcal {N}(0, 1)\)
Study 1: Disease A \(\mathcal {N}(0, 1)\) \(\mathcal {N}(0, 1)\) \(\mathcal {N}(0, 1)\) InvGamma(1,1) \(\mathcal {N}(0, 1)\)
Study 2: Control \(\mathcal {N}(0, 1)\) 0 \(\mathcal {N}(2, 1)\) InvGamma(1,2) \(\mathcal {N}(0, 1)\)
Study 2: Disease B \(\mathcal {N}(0, 1)\) \(\mathcal {N}(0, 1)\) \(\mathcal {N}(2, 1)\) InvGamma(1,2) \(\mathcal {N}(0, 1)\)
Study 3: Control \(\mathcal {N}(0, 1)\) 0 \(\mathcal {N}(0, 1)\) InvGamma(1,1) \(\mathcal {N}(0, 1)\)
Study 3: Disease A \(\mathcal {N}(0, 1)\) \(\mathcal {N}(0, 1)\) \(\mathcal {N}(0, 1)\) InvGamma(1,1) \(\mathcal {N}(0, 1)\)
Study 4: Control \(\mathcal {N}(0, 1)\) 0 \(\mathcal {N}(0, 1)\) InvGamma(1,1) \(\mathcal {N}(0, 1)\)
Study 4: Disease A \(\mathcal {N}(0, 1)\) \(\mathcal {N}(0, 1)\) \(\mathcal {N}(0, 1)\) InvGamma(1,1) \(\mathcal {N}(0, 1)\)
  1. Simulation nos. 1a and 1b involve studies 1 and 2, only, while simulation no. 2 involves all four studies