New g-computation estimators, expressed as stacked estimating equations, recover average causal effects under treatment-induced selection and under confounding plus selection bias when no single adjustment set exists.
Toward a Clearer Definition of Selection Bias When Estimating Causal Effects,
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Constructing g-computation estimators: two case studies in selection bias
New g-computation estimators, expressed as stacked estimating equations, recover average causal effects under treatment-induced selection and under confounding plus selection bias when no single adjustment set exists.