8 citations · 11 across the 2 of their papers we have counts for
2 papers
stat.ME2021★ 3 cited
Randomization Inference beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects
Devin Caughey, Allan Dafoe, Xinran Li +1
Randomization inference (RI) is typically interpreted as testing Fisher's "sharp" null hypothesis that all unit-level effects are exactly zero. This hypothesis is often criticized…
stat.ME2017★ 8 cited
Beyond the Sharp Null: Randomization Inference, Bounded Null Hypotheses, and Confidence Intervals for Maximum Effects
Devin Caughey, Allan Dafoe, Luke Miratrix
Fisherian randomization inference is often dismissed as testing an uninteresting and implausible hypothesis: the sharp null of no effects whatsoever. We show that this view is over…