🔎 New in Nature Communications: “Spurious precision in meta-analysis of observational research.”
Sometimes studies appear too precise because their reported uncertainty reflects method choices rather than real evidence strength. This can mislead meta-analyses.
We introduce MAIVE, a simple way to detect and correct such bias, including publication bias and p-hacking.
🖥️ Try it in your browser (free, no coding): https://www.easymeta.org
đź“„ Paper: https://lnkd.in/eFfrP6H2
đź“° Blog: https://lnkd.in/ejkgbU6X
— Kudos to my great co-authors Pedro Bom, Tomas Havranek, and Heiko Rachinger
#metaanalysis #researchmethods #OpenScience #NatureCommunications
Where the short links go:
lnkd.in/eFfrP6H2→ https://www.nature.com/articles/s41467-025-63261-0lnkd.in/ejkgbU6X→ https://communities.springernature.com/posts/spurious-precision-in-meta-analysis-of-observational-research
