 Here, we take a simulation approach to estimate power and classification accuracy for popular analysis pipelines . We systematically varied cluster size, number of clusters, number of different features between clusters, effect sizewithin each different feature, and cluster covariance structurein generated datasets .
<clarity>  Here, we take a simulation approach to estimate power and classification accuracy for popular analysis pipelines . We systematically varied cluster size, number of clusters, number of different features between clusters, effect sizewithin each different feature, and cluster covariance structurein generated datasets .
 Here, we estimated power and accuracy for common analysis pipelines through simulation. We varied subgroup size, number of clusters, number of different features between clusters, effect sizewithin each different feature, and cluster covariance structurein generated datasets .