<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Meta Analysis on Øystein Sørensen</title><link>https://osorensen.no/tags/meta-analysis/</link><description>Recent content in Meta Analysis on Øystein Sørensen</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 12 Jul 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://osorensen.no/tags/meta-analysis/index.xml" rel="self" type="application/rss+xml"/><item><title>Meta-analysis of generalized additive models in neuroimaging studies</title><link>https://osorensen.no/papers/paper7/</link><pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate><guid>https://osorensen.no/papers/paper7/</guid><description>This paper was motivated by the need to analyze neuroimaging data from multiple cohorts, when raw data could not be shared. We developed a method for meta analysis in which the results of fitting generalized additive (mixed) models could be shared, and a final meta analytic estimate computed based on weighting the individual fits. Published in NeuroImage.</description></item><item><title>metagam: Meta-Analysis of Generalized Additive Models</title><link>https://osorensen.no/software/software5/</link><pubDate>Sat, 01 Feb 2020 00:00:00 +0000</pubDate><guid>https://osorensen.no/software/software5/</guid><description>This R package contains functions for meta analysis using generalized additive (mixed) models, by combining fits from multiple studies.</description></item></channel></rss>