Le Forum de statistique organisé par Unisanté et le Département de Biologie Computationnelle (DBC) de l’UNIL a lieu huit fois par an. Toutes sortes de thématiques de statistiques liés à la recherche scientifique, que ce soit d’un point de vue théorique ou appliqué sont abordées lors de séminaires, donnés en anglais ou en français.
Le forum est ouvert aux chercheurs et chercheuses de toutes institutions. Toutes autres personnes intéressées sont également les bienvenues.
Causal reasoning in settings with competing events and truncation by death
Abstract: A competing event is any event that makes it impossible for the outcome of interest to occur. The presence of competing events requires us to be careful about the interpretation of classical causal estimands. In particular, the average treatment effect captures effects through the competing event, pathways that may not be of primary interest. As a solution, we have recently suggested the separable effect, inspired by Robins and Richardson’s extended graphical approach.
In this talk, I will give criteria that allow different interpretations of the separable effects and present identification conditions that can be evaluated in causal graphs. Furthermore, I will extend the definition of separable effects to settings where investigators are interested in treatment effects conditional on a post-treatment variable.
These conditional separable effects are compelling alternatives to existing estimands, such as principal stratum effects. In particular, the conditional separable effects are defined in an identifiable subgroup of the population, and can be identified under assumptions that are empirically verifiable in a future randomized trial (thus, avoiding cross-world assumptions that are untestable in principle). To illustrate the new estimands, I present analyses from two randomized clinical trials.
Retrouvez les enregistrements vidéo des séminaires passés ici.
Patrick Taffé
Responsable de recherche à Unisanté
E-mail