NONPARMDE: Stata module to calculate the minimum detectable effect in randomized experiment
Joel A. Middleton, John Ternovski · RePEc: Research Papers in Economics · 2012
nonparmde is a method for calculating the minimum detectable effect (MDE) using the nonparametric estimators proposed in Middleton & Aronow (2011). This program is for use on cluster-level data to calculate the minimum effect that a cluster randomized experiment would be able to reliably detect at a given level of statistical power.