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05/13/2022
A Huber loss-based super learner with applications to healthcare expenditures
Complex distributions of the healthcare expenditure pose challenges to s...
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05/11/2022
Efficient estimation of modified treatment policy effects based on the generalized propensity score
Continuous treatments have posed a significant challenge for causal infe...
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03/03/2021
Inference for natural mediation effects under case-cohort sampling with applications in identifying COVID-19 vaccine correlates of protection
Combating the SARS-CoV2 pandemic will require the fast development of ef...
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01/16/2020
Nonparametric inference for interventional effects with multiple mediators
Understanding the pathways whereby an intervention has an effect on an o...
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08/14/2019
Efficient Estimation of Pathwise Differentiable Target Parameters with the Undersmoothed Highly Adaptive Lasso
We consider estimation of a functional parameter of a realistically mode...
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06/21/2019
Design and analysis considerations for a sequentially randomized HIV prevention trial
TechStep is a randomized trial of a mobile health interventions targeted...
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01/15/2019
A nonparametric super-efficient estimator of the average treatment effect
Doubly robust estimators of causal effects are a popular means of estima...
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06/18/2018
Flexible Collaborative Estimation of the Average Causal Effect of a Treatment using the Outcome-Highly-Adaptive Lasso
Many estimators of the average causal effect of an intervention require ...
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03/13/2018