Randomization tests for weak null hypotheses

The FIsher randomization test (FRT) is appropriate for any test statistic, under a sharp null hypothesis that can recover all missing potential outcomes. However, it is often sought after to test a weak null hypothesis that the treatment does not affect the units on average. We propose a strategy to use FRTs to test weak null hypotheses under general factorial experiments, and leverage covariates to further improve the power and robustness of the FRTs.

SPEAKER: Peng Ding, PhD, Assistant Professor, Department of Statistics, University of Berkeley