3 papers
stat.ME2026
When Treatments Spill Over: A Neural Framework for Spatiotemporal Causal Effect Estimation
Shaohui Zhang, Jiasheng Shi, Jing Huang
Real-world public health policies are often enacted by local jurisdictions, but their effects can ripple through connected populations. For causal evaluation, this creates a diffic…
stat.ML2024
Learning covariate importance for matching in policy-relevant observational research
Hongzhe Zhang, Jiasheng Shi, Jing Huang
Matching methods are widely used to reduce confounding effects in observational studies, but conventional approaches often treat all covariates as equally important, which can resu…
stat.ME2024
Unlocking the Power of Time-Since-Infection Models: Data Augmentation for Improved Instantaneous Reproduction Number Estimation
Jiasheng Shi, Yizhao Zhou, Jing Huang
The Time Since Infection (TSI) models, which use disease surveillance data to model infectious diseases, have become increasingly popular due to their flexibility and capacity to a…