4 papers
Harnessing Source Heterogeneity for Cluster-Structured Transfer Learning
Xiaohui Yin, Jun Jin, Shane J. Sacco +2
Transfer learning is a natural strategy when a target population has limited data but multiple related auxiliary sources are available. A central difficulty is source heterogeneity…
Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
Xiaohui Yin, Avijit Mitra, Ying Zhou +2
Estimating the causal effect of time-varying treatments on survival outcomes in large observational studies is computationally demanding, particularly when outcomes are rare. While…
Dissecting Microbial Community Structure and Heterogeneity via Multivariate Covariate-Adjusted Clustering
Zhongmao Liu, Xiaohui Yin, Yanjiao Zhou +2
In microbiome studies, it is often of great interest to identify clusters or partitions of microbiome profiles within a study population and to characterize the distinctive attribu…
Salvaging Forbidden Treasure in Medical Data: Utilizing Surrogate Outcomes and Single Records for Rare Event Modeling
Xiaohui Yin, Shane Sacco, Robert H. Aseltine +2
The vast repositories of Electronic Health Records (EHR) and medical claims hold untapped potential for studying rare but critical events, such as suicide attempt. Conventional set…