Replication Data for: Does AI help humans make better decisions?: A statistical evaluation framework for experimental and observational studies

aihuman is an R package which provides statistical methods for analyzing experimental evaluation of the causal impacts of algorithmic recommendations on human decisions developed by Ben-Michael, Greiner, Huang, Imai, Jiang, and Shin (PNAS, Forthcoming). The data used for this paper, and made available here, are interim, based on only half of the observations in the study and (for those observations) only half of the study follow-up period. We use them only to illustrate methods, not to draw substantive conclusions.