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05/31/2023
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference
Increasingly during the past decade, researchers have sought to leverage...
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10/03/2022
An intersectional framework for counterfactual fairness in risk prediction
Along with the increasing availability of data in many sectors has come ...
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06/25/2021
A flexible Bayesian framework for individualized inference via dynamic borrowing
The explosion in high-resolution data capture technologies in health has...
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03/06/2021
visTree: Visualization of Subgroups for a Decision Tree
Decision trees are flexible prediction models which are constructed to q...
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12/13/2019
Assessing effect heterogeneity of a randomized treatment using conditional inference trees
Treatment effect heterogeneity occurs when individual characteristics in...
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01/09/2017
MEBoost: Variable Selection in the Presence of Measurement Error
We present a novel method for variable selection in regression models wh...
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04/08/2014
Data mining for censored time-to-event data: A Bayesian network model for predicting cardiovascular risk from electronic health record data
Models for predicting the risk of cardiovascular events based on individ...
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04/08/2014