Corpus ID: 235254773

Improving Efficiency of Tests for Composite Null Hypotheses

@inproceedings{Leibovici2021ImprovingEO,
  title={Improving Efficiency of Tests for Composite Null Hypotheses},
  author={Yotam Leibovici and Yair Goldberg},
  year={2021}
}
The goal of mediation analysis is to study the effect of exposure on an outcome interceded by a mediator. Two simple hypotheses are tested: the effect of the exposure on the mediator, and the effect of the mediator on the outcome. When either of these hypotheses is true, a predetermined significance level can be assured. When both nulls are true, the same test becomes conservative. Adaptively finding the correct scenario enables customizing the tests and consequently enlarges their efficiency… Expand

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