3 papers
stat.AP2026
Evaluating for the long term: Learnings from industry
Leif Sigerson, Tom Cunningham, Winston Chou +22
Online platforms prioritize long-term business outcomes, yet typical experiments are far too short to measure these outcomes directly. Our goal in this paper is to collect and shar…
stat.ME2026
Policy relevance of causal quantities in networks
Sahil Loomba, Dean Eckles
In settings where units' outcomes are affected by others' treatments, there has been a proliferation of ways to quantify effects of treatments on outcomes, including via indirect e…
stat.ME2025
Noise-Induced Randomization in Regression Discontinuity Designs
Dean Eckles, Nikolaos Ignatiadis, Stefan Wager +1
Regression discontinuity designs assess causal effects in settings where treatment is determined by whether an observed running variable crosses a pre-specified threshold. Here we…