TL44: Predictions in Clinical Trials
*Gui-shuang Ying, University of Pennsylvania 


In randomized clinical trials, the accumulated data are often monitored through interim monitoring. Predicting the future course of the trial based on the accumulated data from trial itself may provide a useful tool for monitoring the trial. This roundtable will provide an overview of approaches for predicting various outcomes including: time to reach landmark events, treatment effect, optimal combination of enrollment period and follow-up length, conditional power and predictive power etc. We seek to discuss the barriers of using prediction in the real clinical trials.