430 citations · 452 across the 5 of their papers we have counts for
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stat.ME2023
Choosing a Proxy Metric from Past Experiments
Nilesh Tripuraneni, Lee Richardson, Alexander D'Amour +2
In many randomized experiments, the treatment effect of the long-term metric (i.e. the primary outcome of interest) is often difficult or infeasible to measure. Such long-term metr…
stat.ME2022★ 3 cited
Calibration Error for Heterogeneous Treatment Effects
Yizhe Xu, Steve Yadlowsky
Recently, many researchers have advanced data-driven methods for modeling heterogeneous treatment effects (HTEs). Even still, estimation of HTEs is a difficult task -- these method…
stat.ME2022★ 4 cited
Explaining Practical Differences Between Treatment Effect Estimators with High Dimensional Asymptotics
Steve Yadlowsky
We revisit the classical causal inference problem of estimating the average treatment effect in the presence of fully observed confounding variables using two-stage semiparametric…