https://osorensen.no/tags/generalized-additive-models/Recent content in Generalized Additive Models on Øystein SørensenHugoenFri, 12 Jul 2024 00:00:00 +0000https://osorensen.no/papers/paper10/Sun, 01 Sep 2024 00:00:00 +0000https://osorensen.no/papers/paper10/This paper presents the R package “galamm”, which contains open-source implementations for generalized additive latent and mixed models (GALAMMs). Published in Multivariate Behavioral Research.https://osorensen.no/papers/paper8/Mon, 01 Feb 2021 00:00:00 +0000https://osorensen.no/papers/paper8/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.https://osorensen.no/papers/paper7/Fri, 01 Jan 2021 00:00:00 +0000https://osorensen.no/papers/paper7/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.https://osorensen.no/software/software5/Sat, 01 Feb 2020 00:00:00 +0000https://osorensen.no/software/software5/This R package contains functions for meta analysis using generalized additive (mixed) models, by combining fits from multiple studies.