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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