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stat.ME2026
Sequential stratified inference for the mean
Jacob V. Spertus, Mayuri Sridhar, Philip B. Stark
We develop conservative tests for the mean of a bounded population under stratified sampling and apply them to risk-limiting post-election audits. The tests are "anytime valid" und…
stat.ME2025
Dice, but don't slice: Optimizing the efficiency of ONEAudit
Jacob V Spertus, Amanda K Glazer, Philip B Stark
ONEAudit provides more efficient risk-limiting audits than other extant methods when the voting system cannot report a cast-vote record linked to each cast card. It obviates the ne…
stat.ME2025
Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
Jiaxun Li, Jacob Spertus, Philip B. Stark
We extend methods for finite-sample inference about the average treatment effect (ATE) in randomized experiments with binary outcomes to accommodate stratification (blocking). We p…