3 papers
stat.ME2026
Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
Pierre Catoire, Robin Genuer, Cecile Proust-Lima
Conditions ensuring optimal parameter estimation in the presence of missing data are well established in inference, typically relying on the Missing-at-Random (MAR) assumption. In…
stat.ME2025
Structuring, Sequencing, Staging, Selecting: the 4S method for the longitudinal analysis of multidimensional questionnaires in chronic diseases
Tiphaine Saulnier, Wassilios G. Meissner, Margherita Fabbri +2
In clinical studies, questionnaires are often used to report disease-related manifestations from clinician and/or patient perspectives. Their analysis can help identify relevant ma…
stat.ME2024
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…