arXiv (All)
open access
Random-effects meta-analysis via generalized linear mixed models: A Bartlett-corrected approach for few studies
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
- A general framework for using two-stage meta-analysis with individual participant data to predict individualized treatment effects#231408
- Assessing the properties of the prediction interval in random-effects meta-analysis.#146103
- Random-effects meta-analysis via generalized linear mixed models: A Bartlett-corrected approach for few studies#633279
- From Five-Number Summary to Absolute Heterogeneity: Recent Methodological Advances in Meta-Analysis With Continuous Outcomes.#334988
- Practical methods for incorporating summary time-to-event data into meta-analysis#6219
Record · ID 635628
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