Quantitative Bias Analysis and Value of Information Analysis to Inform Priorities for Food is Medicine Research

This study is a secondary analysis with Dr. David Kim from the University of Chicago. It will utilize Quantitative Bias Analysis (QBA) and Value of Information (VOI) analysis to pinpoint key sources of evidence uncertainty in FIM interventions and identify where more research is needed. QBA will assess and correct biases in existing evidence, while VOI analysis will evaluate whether conducting additional studies could effectively reduce uncertainty in the existing evidence. By combining these approaches, the study aims to prioritize research areas that offer the most significant potential for impactful results.