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Joint models for the longitudinal analysis of measurement scales in the presence of informative dropout
Tiphaine Saulnier, Viviane Philipps, Wassilios G Meissner +4
In health cohort studies, repeated measures of markers are often used to describe the natural history of a disease. Joint models allow to study their evolution by taking into accou…
Modeling repeated self-reported outcome data: a continuous-time longitudinal Item Response Theory model
Cécile Proust-Lima, Viviane Philipps, Bastien Perrot +2
Item Response Theory (IRT) models have received growing interest in health science for analyzing latent constructs such as depression, anxiety, quality of life, or cognitive functi…
A multistate approach for mediation analysis in the presence of semi-competing risks with application in cancer survival disparities
Linda Valeri, Cécile Proust-Lima, Weijia Fan +2
We propose a novel methodology to quantify the effect of stochastic interventions on non-terminal time-to-events that lie on the pathway between an exposure and a terminal time-to-…
Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
Anthony Devaux, Robin Genuer, Karine Pérès +1
The individual data collected throughout patient follow-up constitute crucial information for assessing the risk of a clinical event, and eventually for adapting a therapeutic stra…