We developed statistical methods to estimate individual-specific treatment effects (TEs) that can be used to find patient, clinical, and contextual characteristics that define subgroups that are more or less likely to respond to a treatment. This research supports PCORI’s call for the development of analytic approaches and guidance for predictive approaches to the heterogeneity of TEs (HTE).
