4 citations · 9 across the 7 of their papers we have counts for
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stat.ME2021★ 1 cited
Optimized variance estimation under interference and complex experimental designs
Christopher Harshaw, Joel A. Middleton, Fredrik Sävje
Unbiased and consistent variance estimators generally do not exist for design-based treatment effect estimators because experimenters never observe more than one potential outcome…
stat.ME2021★ 2 cited
Randomization does not imply unconfoundedness
Fredrik Sävje
A common assumption in causal inference is that random treatment assignment ensures that potential outcomes are independent of treatment, or in one word, unconfoundedness. This pap…
math.ST2021★ 4 cited
Causal inference with misspecified exposure mappings: separating definitions and assumptions
Fredrik Sävje
Exposure mappings facilitate investigations of complex causal effects when units interact in experiments. Current methods require experimenters to use the same exposure mappings bo…