activity
20202024
most citedIntegrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints

11 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 2 cited

VISION: Toward a Standardized Process for Radiology Image Management at the National Level

Kathryn Knight, Ioana Danciu, Olga Ovchinnikova +14

The compilation and analysis of radiological images poses numerous challenges for researchers. The sheer volume of data as well as the computational needs of algorithms capable of…

cs.AI2023

LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records

Jun Wen, Jue Hou, Clara-Lea Bonzel +14

Electronic health record (EHR) data are increasingly used to support real-world evidence (RWE) studies. Yet its ability to generate reliable RWE is limited by the lack of readily a…

stat.ME2021★ 10 cited

Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects

Larry Han, Jue Hou, Kelly Cho +2

Federated learning of causal estimands may greatly improve estimation efficiency by leveraging data from multiple study sites, but robustness to heterogeneity and model misspecific…

stat.ME2021

Semi-supervised Approach to Event Time Annotation Using Longitudinal Electronic Health Records

Liang Liang, Jue Hou, Hajime Uno +3

Large clinical datasets derived from insurance claims and electronic health record (EHR) systems are valuable sources for precision medicine research. These datasets can be used to…

stat.ME2020★ 11 cited

Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints

Molei Liu, Yin Xia, Kelly Cho +1

Identifying informative predictors in a high dimensional regression model is a critical step for association analysis and predictive modeling. Signal detection in the high dimensio…