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A note about the identifiability of causal effect estimates in randomized trials with non-compliance
1Departments of Biostatistics and Health Services, University of Washington, Seattle WA 98195.
Abstract:
We show that assumptions that are sufficient for estimating an average treatment effect in randomized trials with non-compliance restrict the subgroup means for always takers, compliers, defiers and never takers to a two dimensional linear subspace of a four dimensional space. Implications and specials cases are examplified.
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