research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
02/07/2023
Causally-Interpretable Random-Effects Meta-Analysis
Recent work has made important contributions in the development of causa...
research
∙
12/23/2022
Sufficient Dimension Reduction for Populations with Structured Heterogeneity
A key challenge in building effective regression models for large and di...
research
∙
11/28/2022
Meta-analysis of individualized treatment rules via sign-coherency
Medical treatments tailored to a patient's baseline characteristics hold...
research
∙
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...
research
∙
07/15/2021
Independence weights for causal inference with continuous exposures
Studying causal effects of continuous exposures is important for gaining...
research
∙
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 ...
research
∙
04/29/2020
Energy Balancing of Covariate Distributions
Bias in causal comparisons has a direct correspondence with distribution...
research
∙
09/21/2018
Subgroup Identification Using the personalized Package
A plethora of disparate statistical methods have been proposed for subgr...
research
∙
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, ...
research
∙
01/29/2018