Longitudinal ComBat uses an empirical Bayes method to harmonize means and variances of the residuals across batches in a linear mixed effects model framework. Detailed methods are described in the manuscript:
Beer JC, Tustison NJ, Cook PA, Davatzikos C, Sheline YI, Shinohara RT, Linn KA. (2020) Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data. NeuroImage. In press. https://doi.org/10.1016/j.neuroimage.2020.117129.
Install package with:
install.packages("devtools")
devtools::install_github("jcbeer/longCombat")
Contact Joanne Beer with any questions, comments, or suggestions. Feedback is appreciated.