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Table 1 Summary of the simulation scenarios

From: Characteristics of a loop of evidence that affect detection and estimation of inconsistency: a simulation study

Number of studies
Balanced direct comparisons KAB = KAC = KBC = 1, …, 7
Imbalanced direct comparisons KAB = 1, KAC = 4, KBC = 7 (and KAB = 1, KAC = 4, KBC = 3 for the typical loop)
Treatment effects
Comparison AB ORAB = 0.73
Comparison AC ORAC = 1
Comparison BC ORBC = exp{log(ORAC) - log(ORAB) + IFABC}
Inconsistency in the network
Inconsistency Factor IFABC = {0, 0.3, 0.45, 0.6, 1}
Heterogeneity in the network
Subjective outcome τ2 ~ LN(-2.13, 1.582)
All-cause mortality outcome τ2 ~ LN(-4.06, 1.452)
Trial arm size n A , k 1 = n B , k 1 = n
Small n ~ U(20, 50)
Moderate n ~ U(50, 150)
Large n ~ U(150, 300) (and n ~ U(120, 160) for the typical loop)
Frequency of events
Average risk for frequent events AR AB , k 1 ~U 0.25 , 0.75
Average risk for rare events AR AB , k 1 ~U 0.05 , 0.15
Approaches to estimate the variances of the direct pairwise summary effects
Inverse variance method  
Knapp-Hartung method