Differential subgroups identify specific feature combinations where population differences in outcomes are most extreme, found via a new optimization objective and the DiffSub method.
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2026 2verdicts
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A framework models proxy-primary outcome discrepancies as random effects at the parameter level, estimated from aggregated historical observations to calibrate inferences under distribution shifts.
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Differential Subgroup Discovery: Characterizing Where Two Populations Differ, and Why
Differential subgroups identify specific feature combinations where population differences in outcomes are most extreme, found via a new optimization objective and the DiffSub method.
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Estimate Level Adjustment For Inference With Proxies Under Random Distribution Shifts
A framework models proxy-primary outcome discrepancies as random effects at the parameter level, estimated from aggregated historical observations to calibrate inferences under distribution shifts.