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FEMA-Long is faster, greener, and cheaper than most standard linear mixed-effects modeling approach, easily scaling to very large datasets and a large-number of outcome variables (such as large number of phenotypes or voxels/vertices)
1d
Pravesh Parekh
Job ad (1/2): Postdoc fellowship in the AFNI group (SSCC, NIMH, NIH, USA). FMRI/MRI methods dev, software design, statistics, analysis, data viz, quality control, machine learning and more! Please see: discuss.afni.nimh.nih.gov/t/job-ad-pos... I am happy to chat at OHBM+Brainhack. Please share!
5d
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This is so, so well-articulated.
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Paul Taylor
Cameron Blevins
FEMA-Long is available on GitHub here: github.com/cmig-researc...
1d
Massive thank you to my amazing co-authors for all their help and support for this work! @nadineparker.bsky.social @neuromusicnerd.bsky.social @jaholkowskipiotr.bsky.social @cmakowski.bsky.social @nichols.bsky.social and others not on BlueSky!
Pleased to share that FEMA-Long is now published in PLOS Genetics! FEMA-Long, an efficient mixed-effects modeling method, includes modeling unstructured covariance, spline and spline interactions, and performing longitudinal GWAS to discover time-dependent genetic effects doi.org/10.1371/jour...
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