Using historical data to inform survival extrapolations

Due to immaturity of survival data in clinical trials at time of health technology assessment, long-term predictions of survival result in uncertainty in decision-making. To predict survival more accurately, we test Bayesian methods using historical data to inform parametric survival predictions based on immature trial data.