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01/29/2023
Sensitivity Analysis of Causal Treatment Effect Estimation for Clustered Observational Data with Unmeasured Confounding
Identifying causal treatment (or exposure) effects in observational stud...
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01/03/2023
Covariate-guided Bayesian mixture model for multivariate time series
With rapid development of techniques to measure brain activity and struc...
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11/12/2022
RISE: Robust Individualized Decision Learning with Sensitive Variables
This paper introduces RISE, a robust individualized decision learning fr...
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08/17/2022
Bayesian response adaptive randomization design with a composite endpoint of mortality and morbidity
Allocating patients to treatment arms during a trial based on the observ...
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07/13/2021
MVPipe: Enabling Lightweight Updates and Fast Convergence in Hierarchical Heavy Hitter Detection
Finding hierarchical heavy hitters (HHHs) (i.e., hierarchical aggregates...
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03/10/2021
A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Federated learning is an appealing framework for analyzing sensitive dat...
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07/21/2020
Outcome-Guided Disease Subtyping for High-Dimensional Omics Data
High-throughput microarray and sequencing technology have been used to i...
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01/07/2020
Examining Potential Usability and Health Beliefs Among Young Adults Using a Conversational Agent for HPV Vaccine Counseling
The human papillomavirus (HPV) vaccine is the most effective way to prev...
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12/05/2019
A sparse negative binomial mixture model for clustering RNA-seq count data
Clustering with variable selection is a challenging but critical task fo...
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10/23/2019
A Fast and Compact Invertible Sketch for Network-Wide Heavy Flow Detection
Fast detection of heavy flows (e.g., heavy hitters and heavy changers) i...
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08/04/2019