Optimising Enrollment Forecasting: A Bayesian Approach

About this session

Session: LEVERAGING DATA AND TECHNOLOGY TO MODERNISE FORECASTING AND RECRUITMENT

A reliable enrollment forecast is key in clinical trials for resource optimisation and clinical supply planning. This proposal introduces a Bayesian methodology for optimising enrollment forecasting in clinical trials. By incorporating real-time data updates, such as one-month actual enrollment data and latest thinking from sites, the proposal ensures that forecasts remain dynamic and reflective of current trends, improving overall forecasting reliability and decision-making capabilities.

Speaker

• XL

  Xinyang Li

  Senior Data Analyst · Johnson & Johnson

  Speaker