Longitudinal Patient Outcome Correlation Analysis

Design a sophisticated data analysis framework to track and correlate long-term patient outcomes across multiple treatment protocols. Develop a methodology that can handle complex, time-series healthcare data while accounting for confounding variables and potential selection biases. Create a statistical approach that can identify subtle correlations between treatment methods, patient demographics, and long-term health outcomes. The analysis should include advanced statistical techniques like propensity score matching and survival analysis.