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The outcome model is the fit of the expectation E[Y|\bar{L},\bar{A}] (over many time-points).
If the observed \bar{A} is not consistent with following the rule (dynamic or static), the above regression will be only fit among the observations who are actually following the rule.
So is this most applicable for a target parameter like a data-adaptive parameter? When you intervene on treatment according to a rule, isn't everyone following that rule at each time point under the intervened treatment? Under what circumstance would you calculated a treatment-specific mean but only over individuals who actually followed that treatment?
The documentation in
fit_GCOMP()
forstratifyQ_by_rule
says,Does this mean that non-rule-followers are excluded at each time point from the hazard estimate? I don't see separate "stratified" estimates.
Thanks,
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