arXiv (All)
open access
Bayesian inference of risk differences for multi-group bilateral data
Bilateral data from paired body parts are common and correlated in clinical studies. Classical frequentist methods perform poorly in small or sparse datasets. This paper develops a Bayesian framework for bilateral data with multiple groups under Dallal's model. We derive three objective priors (unif
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
- M3-Tele: A Unified Multimodal Teleoperational Framework for Compliant Whole-Body Mobile Manipulation#1013676
- Delphi approach to prioritising research in cardiovascular and kidney disease using routinely collected data.#157105
- Forecasting knee replacement surgery with deep learning: an integrated approach using routine clinical data and radiographs#416573
- Cross Therapy Registry - Edema - US#1101106
- ISOXIAN Framework: Medical Device Lifecycle Working Manual#401573
Record · ID 1141295
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