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Table 3 Summary of the factorial design of the simulation study for the secondary objective

From: Mind the gap: covariate constrained randomisation can protect against substantial power loss in parallel cluster randomised trials

Parameter Values
Number of clusters in each treatment arm (K) 9
Number of observations per cluster (M) 300
Intra-cluster correlation (ρ) 0.05
Standardised treatment effect (θ) 0 or 0.5
Number of covariates in the data generation model (L) 4, 8, 12
Magnitude of prognostic effect of covariates 0.25, 0.5, 1.0
Number of covariates balanced in the randomisation (C) 1, 2, 3, 4
Candidate set 100% (simple randomisation)
Number of covariates adjusted in the analysis (A) 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12