Statistical calibration of OPTIMISE trial results using real-world data

Key Points

• Calibration improves the validity of trial results, reducing bias and misinterpretation.
• Emphasizing the integration of real-world data enhances reliability and generalizability.
• Statistical techniques were applied to adjust results for better alignment with population characteristics.
• Implications extend to improving future trial designs and decision-making processes.

Abstract