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Table 4 Definition of detachment factors for testing inconsistency [D k .T; k (1,…,15)]

From: Network-meta analysis made easy: detection of inconsistency using factorial analysis-of-variance models

Design (factor G) Design no. (k) Factor for detachment Level of factor for the fifteen designs
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
acar:plac 1 D1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
acar:SUal 2 D2 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
benf:plac§ 3 - - - - - - - - - - - - - - - -
metf:plac 4 D4 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0
metf:acar:plac 5 D5 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
metf:SUal 6 D6 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0
migl:plac§ 7 - - - - - - - - - - - - - - - -
piog:plac 8 D8 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
piog:metf 9 D9 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
piog:rosi 10 D10 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
rosi:plac 11 D11 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
rosi:metf 12 D12 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0
rosi:SUal 13 D13 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
sita:plac§ 14 - - - - - - - - - - - - - - - -
vild:plac§ 15 - - - - - - - - - - - - - - - -
  1. Factors are defined for eleven designs in the diabetes example of Senn et al. [7] (due to the network structure, the other four designs do not contribute to the inconsistency).
  2. §These designs do not contribute to the overall inconsistency interaction design × treatment (G.T).