Estimation of causal effects with repeatedly measured outcomes in a Bayesian framework
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Constructing causal inference methods to handle longitudinal data in observational studies is of high interest. In an observational setting, treatment assignment at each clinical visit follows a decision strategy where the treating clinician selects treatment ... ...
