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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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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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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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05/09/2019
A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables
Finite mixture model is an important branch of clustering methods and ca...
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05/06/2019
Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables
Clustering is an essential technique for discovering patterns in data. T...
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04/18/2019
