2 papers
cs.LG2026
Introducing Feature-Based Trajectory Clustering, a clustering algorithm for longitudinal data
Marie-Pierre Sylvestre, Laurence Boulanger
We present a new algorithm for clustering longitudinal data. Data of this type can be conceptualized as consisting of individuals and, for each such individual, observations of a t…
stat.ME2024
Adaptive sparsening and smoothing of the treatment model for longitudinal causal inference using outcome-adaptive LASSO and marginal fused LASSO
Mireille E Schnitzer, Denis Talbot, Yan Liu +5
Causal variable selection in time-varying treatment settings is challenging due to evolving confounding effects. Existing methods mainly focus on time-fixed exposures and are not d…