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Table 7 Adjusted means for the ten treatments

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

Treatment

Adjusted mean

Letter grouping

rosi

0.212

  

c

piog

0.317

 

b

c

metf

0.318

 

b

c

migl

0.496

 

b

c

acar

0.605

 

b

c

benf

0.709

a

 

c

vild

0.746

a

 

c

sita

0.876

a

 

c

SUal

1.029

a

b

 

plac

1.446

a

  
  1. Means for the diabetes example of Senn et al. [7] were computed from model (2), dropping the design × treatment interaction (G.T) and modelling heterogeneity (G.S.T) as random. Pairwise comparisons at a family-wise Type I error rate of 5% by Edwards-Berry [20] test. Means with a common letter are not significantly different. The letter display was obtained by the method of Piepho [21]. Treatments are sorted in ascending order of means for ease of interpretation.