Before revision: Identifying risk factors from longitudinal data requires statistical tools that are not restricted to linear models, yet provide interpretable associations between different types of covariates and a response variable.
After revision: Longitudinal study designs are indispensable for studying disease progression. Inferring covariate effects from longitudinal data requires statistical tools that are not restricted to linear models, yet provide interpretable associations between different types of covariates and a response variable.