168 citations · 173 across the 7 of their papers we have counts for
7 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…
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…
Transfer Learning with Large-Scale Quantile Regression
Jun Jin, Jun Yan, Robert H. Aseltine +1
Quantile regression is increasingly encountered in modern big data applications due to its robustness and flexibility. We consider the scenario of learning the conditional quantile…
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
Jianmin Chen, Robert H. Aseltine, Fei Wang +1
Statistical learning with a large number of rare binary features is commonly encountered in analyzing electronic health records (EHR) data, especially in the modeling of disease on…
Collaboration Equilibrium in Federated Learning
Sen Cui, Jian Liang, Weishen Pan +3
Federated learning (FL) refers to the paradigm of learning models over a collaborative research network involving multiple clients without sacrificing privacy. Recently, there have…
Survival Modeling of Suicide Risk with Rare and Uncertain Diagnoses
Wenjie Wang, Chongliang Luo, Robert H. Aseltine +3
Motivated by the pressing need for suicide prevention through improving behavioral healthcare, we use medical claims data to study the risk of subsequent suicide attempts for patie…
Impact of Temperature and Relative Humidity on the Transmission of COVID-19: A Modeling Study in China and the United States
Jingyuan Wang, Ke Tang, Kai Feng +4
Objectives: We aim to assess the impact of temperature and relative humidity on the transmission of COVID-19 across communities after accounting for community-level factors such as…