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The identification of patient subgroups with differential treatment effects is the first step towards individualised treatments. A current draft guideline by the EMA discusses potentials and problems in subgroup analyses and formulated challenges to the development of appropriate statistical procedures for the data-driven identification of patient subgroups. We introduce model-based recursive partitioning as a procedure for the automated detection of patient subgroups that are identifiable bydoi:10.1515/ijb-2015-0032 pmid:27227717 fatcat:z3zhgbcj5vc5jdb6b3hag3tjkq