MRI

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.

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.