Estimation of the interpretable heterogeneous treatment effect with causal subgroup discovery in survival outcomes

Key Points

• Heterogeneous treatment effects are identified, revealing the diversity in patient responses.
• Survival outcomes were specifically targeted with causal subgroup discovery methods for effective analysis.
• Statistical analysis was employed to interpret the treatment effects across different patient subgroups.
• Implications highlight the need for tailored treatment approaches based on identified subgroups for enhanced patient care.