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Found 2 papers, 1 papers with code
Robust Q-learning
Q-learning is a regression-based approach that is widely used to formalize the development of an optimal dynamic treatment strategy.
Sample size considerations for comparing dynamic treatment regimens in a sequential multiple-assignment randomized trial with a continuous longitudinal outcome
We show that the sample size formula for a SMART can be written as the product of the sample size formula for a standard two-arm randomized trial, a deflation factor that accounts for the increased statistical efficiency resulting from a repeated-measures analysis, and an inflation factor that accounts for the design of a SMART.
Methodology
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