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06/30/2023
Leveraging Observational Data for Efficient CATE Estimation in Randomized Controlled Trials
Randomized controlled trials (RCTs) are the gold standard for causal inf...
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02/22/2023
Doubly structured sparsity for grouped multivariate responses with application to functional outcome score modeling
This work is motivated by the need to accurately model a vector of respo...
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02/15/2023
Causally-interpretable meta-analysis: clearly-defined causal effects and two case studies
Meta-analysis is commonly used to combine results from multiple clinical...
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02/07/2023
Causally-Interpretable Random-Effects Meta-Analysis
Recent work has made important contributions in the development of causa...
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12/23/2022
Sufficient Dimension Reduction for Populations with Structured Heterogeneity
A key challenge in building effective regression models for large and di...
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11/28/2022
Meta-analysis of individualized treatment rules via sign-coherency
Medical treatments tailored to a patient's baseline characteristics hold...
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06/13/2022
A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID
While electronic health records are a rich data source for biomedical re...
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07/15/2021
Independence weights for causal inference with continuous exposures
Studying causal effects of continuous exposures is important for gaining...
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05/03/2021
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population
Learning individualized treatment rules (ITRs) is an important topic in ...
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04/29/2020
Energy Balancing of Covariate Distributions
Bias in causal comparisons has a direct correspondence with distribution...
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09/21/2018
Subgroup Identification Using the personalized Package
A plethora of disparate statistical methods have been proposed for subgr...
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06/05/2018
Selection and Estimation Optimality in High Dimensions with the TWIN Penalty
We introduce a novel class of variable selection penalties called TWIN, ...
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01/29/2018
