3 citations · 5 across the 4 of their papers we have counts for
4 papers
A non-parametric Bayesian approach for adjusting partial compliance in sequential decision making
Indrabati Bhattacharya, Brent A. Johnson, William Artman +4
Existing methods in estimating the mean outcome under a given dynamic treatment regime rely on intention-to-treat analyses which estimate the effect of following a certain dynamic…
Bayesian Set of Best Dynamic Treatment Regimes and Sample Size Determination for SMARTs with Binary Outcomes
William J. Artman, Ashkan Ertefaie, Kevin G. Lynch +1
One of the main goals of sequential, multiple assignment, randomized trials (SMART) is to find the most efficacious design embedded dynamic treatment regimes. The analysis method k…
Adjusting for Partial Compliance in SMARTs: a Bayesian Semiparametric Approach
William J. Artman, Ashkan Ertefaie, Kevin G. Lynch +2
The cyclical and heterogeneous nature of many substance use disorders highlights the need to adapt the type or the dose of treatment to accommodate the specific and changing needs…
Power Analysis in a SMART Design: Sample Size Estimation for Determining the Best Dynamic Treatment Regime
William J. Artman, Inbal Nahum-Shani, Tianshuang Wu +2
Sequential, multiple assignment, randomized trial (SMART) designs have become increasingly popular in the field of precision medicine by providing a means for comparing sequences o…