Many statistical methods have been applied to the VAERS (Vaccine Adverse Event Reporting System) database to study the safety of COVID-19 vaccines. However, none of these methods considered the adverse event (AE) ontology. We propose a Bayesian model to simultaneously estimate all AEs while incorporating the network of dependence between AEs. Under a fully Bayesian inference framework, we also propose a negative control approach to mitigate the reporting bias. I will also present another project on predicting survival data using pseudo-value based deep learning methods.
Speaker: Lili Zhao, PhD, Director of Biostatistics and Health Informatics, Corewell Health Research Institute
Location: Mission Hall #2700 or via ZOOM (Register Here if attending via ZOOM)