arXiv (All)
open access
Report resolution in federated multiple testing under family-wise error control
Several institutions test one family of hypotheses under family-wise error control but cannot pool their data, so each site releases, for each hypothesis, only a report of its own p-value. The report's resolution is the number of values it can take. We quantify the power lost to such reports relativ
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Power and sample size calculations for causal mediation analysis with a binary mediator in randomized trials#799616
- Sample size and power estimation for studies with health related quality of life outcomes: a comparison of four methods using the SF-36#649922
- Statistical significance under low power: A Gettier case?#721516
- BOP2-ENR: a Bayesian optimal phase II design for adaptive enrichment with family-wise error rate control and a bound on joint-claim power#1143360
- Erratum: Big Data in medical research and EU data protection law: challenges to the consent or anonymise approach#461730
Record · ID 1014296
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive