Assuming that a drug is active and different from placebo, a patient's gain or loss is likely to depend on how much of the drug is taken and when. The present paper motivates the ethical imperative of statistical compliance analysis by considering important clinical questions, the advent of more precise compliance measuring instruments and new statistical efforts towards well understood analyses that seek to preserve scientific integrity. An extension of Efron and Feldman's approach is developed which exploits the randomization assumption in combination with structural models. It also generates more promising designs and alternative statistical approaches.
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Goetghebeur et al. (1996) studied this question.
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