In randomized clinical trials, there has been an increasing interest in identifying subgroups with heterogeneous responses to study treatment based on baseline patient characteristics. Even though the benefit risk assessment of any patient population or subgroups is almost always a multi-facet consideration, the statistical literature of subgroup identification has largely been limited to a single clinical outcome. In the article, we propose a nonparametric method that searches for subgroup membership scores by maximizing a value...