19 citations · 100 across the 32 of their papers we have counts for
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stat.ME2023
Long-Term Causal Inference with Imperfect Surrogates using Many Weak Experiments, Proxies, and Cross-Fold Moments
Aurélien Bibaut, Nathan Kallus, Simon Ejdemyr +1
Inferring causal effects on long-term outcomes using short-term surrogates is crucial to rapid innovation. However, even when treatments are randomized and surrogates fully mediate…
stat.AP2023
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
Allen Tran, Aurélien Bibaut, Nathan Kallus
We study inference on the long-term causal effect of a continual exposure to a novel intervention, which we term a long-term treatment, based on an experiment involving only short-…