32 citations · 84 across the 22 of their papers we have counts for
7 papers · 1 filter
A reluctant additive model framework for interpretable nonlinear individualized treatment rules
Jacob M. Maronge, Jared D. Huling, Guanhua Chen
Individualized treatment rules (ITRs) for treatment recommendation is an important topic for precision medicine as not all beneficial treatments work well for all individuals. Inte…
Counterfactual fairness for small subgroups
Solvejg Wastvedt, Jared D Huling, Julian Wolfson
While methods for measuring and correcting differential performance in risk prediction models have proliferated in recent years, most existing techniques can only be used to assess…
Modified treatment policy effect estimation with weighted energy distance
Ziren Jiang, Jared D. Huling
The causal effects of continuous treatments are often characterized through the average dose response function, which is challenging to estimate from observational data due to conf…
Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
Amir Asiaee, Chiara Di Gravio, Cole Beck +3
Understanding how treatment effects vary across patient characteristics is essential for personalized medicine, yet randomized controlled trials (RCTs) are often underpowered to de…
Doubly structured sparsity for grouped multivariate responses with application to functional outcome score modeling
Jared D. Huling, Jennifer P. Lundine, Julie C. Leonard
This work is motivated by the need to accurately model a vector of responses related to pediatric functional status using administrative health data from inpatient rehabilitation v…
Causally-interpretable meta-analysis: clearly-defined causal effects and two case studies
Kollin W. Rott, Gert Bronfort, Haitao Chu +5
Meta-analysis is commonly used to combine results from multiple clinical trials, but traditional meta-analysis methods do not refer explicitly to a population of individuals to who…
Causally-Interpretable Random-Effects Meta-Analysis
Justin M. Clark, Kollin W. Rott, James S. Hodges +1
Recent work has made important contributions in the development of causally-interpretable meta-analysis. These methods transport treatment effects estimated in a collection of rand…