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06/28/2023
Causal inference for the expected number of recurrent events in the presence of a terminal event
We study causal inference and efficient estimation for the expected numb...
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06/25/2023
Inference for relative sparsity
In healthcare, there is much interest in estimating policies, or mapping...
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11/29/2022
Relative Sparsity for Medical Decision Problems
Existing statistical methods can be used to estimate a policy, or a mapp...
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09/21/2022
Structural mean models for instrumented difference-in-differences
In the standard difference-in-differences research design, the parallel ...
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08/05/2022
Valid post-selection inference in Robust Q-learning
Constructing an optimal adaptive treatment strategy becomes complex when...
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07/18/2022
Sensitivity Analysis for Constructing Optimal Treatment Regimes in the Presence of Non-compliance and Two Active Treatment Options
Existing literature on constructing optimal regimes often focuses on int...
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10/12/2021
Causal Mediation Analysis: Selection with Asymptotically Valid Inference
Researchers are often interested in learning not only the effect of trea...
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10/01/2021
A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making
Existing methods in estimating the mean outcome under a given dynamic tr...
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11/06/2020
Controlling for Unmeasured Confounding in the Presence of Time: Instrumental Variable for Trend
Unmeasured confounding is a key threat to reliable causal inference base...
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08/05/2020
Bayesian Set of Best Dynamic Treatment Regimes and Sample Size Determination for SMARTs with Binary Outcomes
One of the main goals of sequential, multiple assignment, randomized tri...
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05/22/2020
Nonparametric inverse probability weighted estimators based on the highly adaptive lasso
Inverse probability weighted estimators are the oldest and potentially m...
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05/20/2020
Adjusting for Partial Compliance in SMARTs: a Bayesian Semiparametric Approach
The cyclical and heterogeneous nature of many substance use disorders hi...
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03/27/2020
Robust Q-learning
Q-learning is a regression-based approach that is widely used to formali...
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03/17/2018
