Shen, J. (STAT) – Bayesian Modeling and Uncertainty Quantification for Verbal Autopsy Data
Virtual Event
Verbal autopsy (VA) is a well developed tool to collect information describing deaths outside of hospitals by conducting surveys to the relatives and caregivers of the deceased person. It is routinely-implemented in low and middle income countries, where it often lacks sufficient resources to conduct the autopsy. The main task is to estimate both individual level cause-of-death probabilities and population level cause-specific mortality fractions. In this document, we present three projects dealing with challenges current VA modeling faces. In the first project, we build a shared latent class model for verbal autopsy, which allows causes to share common symptom patterns. A […]