A model-robust g-computation method yields consistent and asymptotically normal estimates for hybrid control trials under minimal assumptions without requiring exchangeability.
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
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A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability
A model-robust g-computation method yields consistent and asymptotically normal estimates for hybrid control trials under minimal assumptions without requiring exchangeability.