We propose a new classification method for longitudinal data based on a semiparametric approach. Our approach builds a classifier by taking advantage of modeling information between response and covariates for each class ...
This thesis consists of three papers which investigate marginal models,
nonparametric approaches, generalized mixed effects models and variance
components estimation in longitudinal data analysis.
In the first paper, ...