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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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03/31/2021
Planning SMARTs: Sample size estimation for comparing dynamic treatment regimens using longitudinal count outcomes with excess zeros
In many health domains such as substance-use, outcomes are often counts ...
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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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05/20/2020
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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10/31/2018
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome
Clinicians and researchers alike are increasingly interested in how best...
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03/17/2018