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

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

Design (factor G)	Design no. (k)	Factor for detachment	Level of factor for the fifteen designs
Design (factor G)	Design no. (k)	Factor for detachment	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	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

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).
^§These designs do not contribute to the overall inconsistency interaction design × treatment (G.T).

ISSN: 1471-2288