Covariate-adjusted Fisher randomization tests for the average treatment effect: Neyman seminar

Neyman Seminar
Oct 22, 2020 4:00pm to 5:00pm
Evans Hall
Happening As Scheduled
Fisher’s randomization test delivers exact p-values under the strong null hypothesis of no treatment effect on any units whatsoever and allows for flexible covariate adjustment to improve the power. Of interest is whether the procedure could also be valid for testing the weak null hypothesis of zero average treatment effect. Towards this end, we evaluate two general strategies for Fisher...
Peng Ding, UC Berkeley