<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MRI on Øystein Sørensen</title><link>https://osorensen.no/tags/mri/</link><description>Recent content in MRI 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/mri/index.xml" rel="self" type="application/rss+xml"/><item><title>A recipe for accurate estimation of lifespan brain trajectories, distinguishing longitudinal and cohort effects</title><link>https://osorensen.no/papers/paper8/</link><pubDate>Mon, 01 Feb 2021 00:00:00 +0000</pubDate><guid>https://osorensen.no/papers/paper8/</guid><description>This paper considers estimation of lifespan brain trajectories from longitudinal data, using generalized additive mixed models. It studies how to distinguish longitudinal effects from cohort effects, and shows example code in R which practitioners can use for their own data. Published in NeuroImage.</description></item><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></channel></rss>