Author

Denis Talbot

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Preprint Oct 2026

A Bayesian model averaging approach for estimating longitudinal treatment effects

Several methods have been proposed for performing variable selection for the goal of estimating the average treatment effect of a point treatment on an outcome. Much less work has focused on developing methods for performing variable selection when the goal is instead to estimate the causal effect of a longitudinal tre...

David Adenyo, Mireille E. Schnitzer, J. Guertin et al. · 0 citations

Preprint Aug 2026

Causal inference via propensity scores for case-control studies

Propensity score methods for causal inference are increasingly being used in cohort and experimental designs, but their development and uptake in outcome-dependent sampling schemes, such as case-control studies, remains limited. Case-control studies involve the sampling of individuals with and without an outcome of int...

Yan Liu, Anita Koushik, P. Boileau et al. · 0 citations