We consider the problem of identifying subgroups of participants in a clinical trial that have
enhanced treatment effect. Recursive partitioning methods that recursively partition the
covariate space based on some measure of between groups treatment effect difference are
popular for such subgroup identification. The most commonly used recursive partitioning
method, the classification and regression tree algorithm, first creates a large tree by
recursively partitioning the covariate space using some splitting criteria and then selects the …

We consider the problem of identifying sub-groups of participants in a clinical trial that have
enhanced treatment effect. Recursive partitioning methods that recursively partition the
covariate space based on some measure of between groups treatment effect difference are
popular for such sub-group identification. The most commonly used recursive partitioning
method, the classification and regression tree algorithm, first creates a large tree by
recursively partitioning the covariate space using some splitting criteria and then selects the …