Model-based recursive partitioning (MOB) can be used to identify subgroups with differing treatment effects. The detection rate of treatment-by-covariate interactions and the accuracy identified using MOB depend strongly on sample size. Using data from multiple randomized controlled clinical trials overcome problem too small samples. However, naively pooling may result in identification spuriou...