Using Generalized Additive Models for Biomedical Longitudinal data
R
longitudinal data
simulation
When linear models don’t work
TALK RECORDING
Description
This talk at the RMedicine 2021 Conference covers in a brief way the statistical treatment of longitudinal data with an emphasis on biomedical research, showing in a visual way the limitations of linear models (rm-ANOVa or LMEMs) and how generalized additive models (GAMs) are useful to analyze non-linear data.
An in-depth coverage of this topic can be found in our paper.
The GitHub repository for the paper can be found here and the recording of the “lightning talk” can be accessed using the link above.
