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Simulation results detailed in Esarey and Menger (2019) <doi:10.1017/psrm.2017.42> demonstrate that cluster adjusted t statistics (CATs) are an effective method for correcting standard errors in scenarios with a small number of clusters. The mmiCATs web application facilitates the analysis of data utilizing CATs as implemented in the cluster.im.glm() function from the 'clusterSEs' R package.