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stat.ME2026
PPI is the Difference Estimator: Recognizing the Survey Sampling Roots of Prediction-Powered Inference
Reagan Mozer
Prediction-powered inference (PPI) is a rapidly growing framework for combining machine learning predictions with a small set of gold-standard labels to conduct valid statistical i…
stat.ME2026
Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes
Reagan Mozer, Nicole E. Pashley, Luke Miratrix
In many randomized trials, outcomes such as essays or open-ended responses must be manually scored as a preliminary step to impact analysis, a process that is costly and limiting.…
stat.ME2024
More power to you: Using machine learning to augment human coding for more efficient inference in text-based randomized trials
Reagan Mozer, Luke Miratrix
For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of intere…