Efficient Design and Analysis of Cluster Randomized Trials
Description
Constrained randomization by Raab and Butcher (2001)
is suitable for cluster randomized trials (CRTs) with a
small number of clusters (e.g., 20 or fewer). The procedure of
constrained randomization is based on the baseline values of some
cluster-level covariates specified. The intervention effect on
the individual outcome can then be analyzed through
clustered permutation test introduced by Gail, et al. (1996) .
Motivated from Li, et al. (2016) , the package performs constrained randomization on the baseline
values of cluster-level covariates and clustered permutation test on the individual-level outcomes for cluster randomized trials.