5 papers · 1 filter
Pooling Sequential Evidence Across Hypotheses: Rate-Optimal Multiple Testing at a Fixed Horizon
Prasanjit Dubey, Xiaoming Huo
We study sequential testing of a fixed family of hypotheses when observations are costly and a sampling horizon is specified in advance. The challenge is to pool evidence for earli…
Federated multiple testing with quantized p-values under family-wise error control
Prasanjit Dubey, Xiaoming Huo
Several institutions test one family of hypotheses under family-wise error control but cannot pool their data, so each site releases only a quantized report of its p-value for each…
BOOST: Power-Optimal Strong-FWER Testing for Block-Structured Multiplicity
Prasanjit Dubey, Xiaoming Huo
Structured multiple-testing problems (gatekeeping trials, dose-finding, multi-tissue eQTL mapping, bundled-challenger A/B experiments) organize hypotheses into design-imposed block…
Optimal multiple testing under family-wise error control: elementary symmetric polynomials and a scalable algorithm
Prasanjit Dubey, Xiaoming Huo
Family-wise error rate control is essential when even one false rejection is costly, but distribution-free procedures do not exploit information in a specified alternative model. E…
Most Powerful Test with Exact Family-Wise Error Rate Control: Necessary Conditions and a Path to Fast Computing
Prasanjit Dubey, Xiaoming Huo
Identifying the most powerful test in multiple hypothesis testing under strong family-wise error rate (FWER) control is a fundamental problem in statistical methodology. State-of-t…