| 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 |