A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making
Existing methods for estimating the mean outcome under a given sequential treatment rule often rely on intention-to-treat analyses, which estimate the effect of following a certain treatment rule regardless of compliance behavior of patients. There are two major concerns with intention-to-treat analyses: (1) the estimated effects are often biased toward …