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Table 2 Summary of simulation study results and recommendations on their use

From: Cluster randomised trials with a binary outcome and a small number of clusters: comparison of individual and cluster level analysis method

 

Cluster-Level Method

GLMM

GEE

Method

Use equal weighting of clusters and clusters minus cluster-level parameters degrees of freedom

Use restricted pseudo-likelihood and clusters minus cluster-level parameters degrees of freedom

Use Fay and Graubard standard errors, clusters minus cluster-level parameters degrees of freedom, and an independent working correlation matrix

Valid results a

Cluster size > 10

Or

Common outcome (prevalence > 10%)

All scenarios

Cluster size ≤ 50

Or

CV cluster size ≤ 0.5

Competitive power b

Common cluster size

Or

High ICC (ICC > 0.05)

Varying cluster size

Or

20 + clusters

Low ICC ≤ 0.01

  1. a Unbiased effects with controlled or conservative type-one error
  2. b The method/s with greatest or similar to greatest power in a scenario