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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: Int J Epidemiol. 2013 Feb;42(1):332–345. doi: 10.1093/ije/dys222

Table 3.

Number of consistent networks that become inconsistent under the loop-specific and design-by-treatment interaction approach when the effect measure is the odds ratio. The common within-network heterogeneity (τ^ntw2) is estimated with the restricted maximum likelihood method. Under the loop-specific approach the networks that involve at least 5% inconsistent loops out of their total loops are considered as inconsistent. We define as ‘C’ the consistent networks and as ‘I’ the inconsistent networks.

Loop-specific approach - τ^ntw2 Percentage out of the total 40 networks
Design-by-treatment interaction approach- τ^ntw2 C I
C 30 4 85%
I 2 4 15%
Percentage out of the total 40 networks 80% 20%