Functional principal component analysis as an alternative to mixed-effect models for describing sparse repeated measures in presence of missing data

Corentin Ségalas, Catherine Helmer, Robin Genuer +1

Analyzing longitudinal data in health studies is challenging due to sparse and error-prone measurements, strong within-individual correlation, missing data and various trajectory s…