4 papers
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
Yu Zhu, Jason Teng, Zehang Richard Li
In regions lacking medically certified causes of death, verbal autopsy (VA) is a widely used tool to ascertain the cause of death through interviews with caregivers. Data collected…
Flexible Bayesian Tensor Decomposition for Verbal Autopsy Data
Yu Zhu, Zehang Richard Li
Cause-of-death data is fundamental for understanding population health trends and inequalities as well as designing and evaluating public health interventions. A significant propor…
Hierarchical Latent Class Models for Mortality Surveillance Using Partially Verified Verbal Autopsies
Yu Zhu, Zehang Richard Li
Monitoring cause-of-death data is an important part of understanding disease burdens and effects of public health interventions. Verbal autopsy (VA) is a well-established method fo…
Treatment Effect Estimation Amidst Dynamic Network Interference in Online Gaming Experiments
Yu Zhu, Zehang Richard Li, Yang Su +1
The evolving landscape of online multiplayer gaming presents unique challenges in assessing the causal impacts of game features. Traditional A/B testing methodologies fall short du…