More powerful randomization-based p-values in double-blind trials with non-compliance.

  title={More powerful randomization-based p-values in double-blind trials with non-compliance.},
  author={Donald B. Rubin},
  journal={Statistics in medicine},
  volume={17 3},
  pages={371-85; discussion 387-9}
Standard randomization-based tests of sharp null hypotheses in randomized clinical trials, that is, intent-to-treat analyses, are valid without extraneous assumptions, but generally can be appropriately powerful only with alternative hypotheses that involve treatment assignment having an effect on outcome. In the context of clinical trials with non-compliance, other alternative hypotheses can be more natural. In particular, when a trial is double-blind, it is often reasonable for the… CONTINUE READING

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