Analyze manufacturer device datasets (usage, adherence, device performance and utilization measures, demographics, and clinical context) using advanced statistical and data science methods—including heterogeneity of treatment effect approaches—to quantify outcomes, identify responder profiles, and determine which patient segments and usage patterns drive benefit in stroke neurorehabilitation. Advanced Analytics & Real-World Evidence Methods – Proven ability to analyze manufacturer device data (usage, adherence, device performance/utilization measures) and execute rigorous RWE studies (cohort construction, risk adjustment, longitudinal analyses), including heterogeneity of treatment effect approaches.