3 papers
stat.ME2024
Optimizing Returns from Experimentation Programs
Timothy Sudijono, Simon Ejdemyr, Apoorva Lal +1
Experimentation in online digital platforms is used to inform decision making. Specifically, the goal of many experiments is to optimize a metric of interest. Null hypothesis stati…
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.ME2023
A Framework for Generalization and Transportation of Causal Estimates Under Covariate Shift
Apoorva Lal, Wenjing Zheng, Simon Ejdemyr
Randomized experiments are an excellent tool for estimating internally valid causal effects with the sample at hand, but their external validity is frequently debated. While classi…