7 papers
On Data Thinning for Model Validation in Small Area Estimation
Sho Kawano, Paul A. Parker, Zehang Richard Li
Small area estimation produces estimates of population parameters for geographic and demographic subgroups with limited sample sizes. Such estimates are critical for policy decisio…
Design-Based Cross-Validation for Comparing Small Area Estimators
Qianyu Dong, Zehang Richard Li
Subnational monitoring of public health and development indicators often relies on household surveys where data are sparse at the desired spatial resolution. Small area estimation…
The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
Jon Wakefield, Peter A. Gao, Geir-Arne Fuglstad +1
In low- and middle-income countries (LMICs), accurate estimates of subnational health and demographic indicators are critical for guiding policy and identifying disparities. Many i…
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…
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…