2 citations · 2 across the 5 of their papers we have counts for
7 papers
A Bayesian Approach to Causal Cure Models
Emma Torrini, Maïlis Amico, Nicolas Molinari +1
Time-to-event data often include individuals who will never experience the failure event, and are therefore considered cured. In such settings, frequently encountered in clinical r…
Causal Perspectives on Network Meta-Analysis
Ahmed Boughdiri, Francisco Andrade, Clément Berenfeld +1
Pairwise and network meta-analyses occupy the highest tier of evidence-based medicine and routinely inform clinical guidelines and healthcare decision-making. Current approaches ty…
Causal Evaluation of Membership Inference Attacks
Mathieu Even, Clément Berenfeld, Linus Bleistein +3
Membership Inference Attacks (MIAs) aim to distinguish training points (members) from unseen data (non-members), and are widely used to quantify memorization and assess privacy ris…
Estimating treatment duration effects via clone-censor-weight: a breast cancer case study
Charlotte Voinot, Noémie Simon-Tillaux, Emma Torrini +4
In this work, we study the estimation of treatment duration effects in observational survival data, where treatment and covariate histories evolve over time and longer observed dur…
Causal Meta-Analysis: Rethinking the Foundations of Evidence-Based Medicine
Clément Berenfeld, Ahmed Boughdiri, Bénédicte Colnet +5
Meta-analysis, by synthesizing effect estimates from multiple studies conducted in diverse settings, stands at the top of the evidence hierarchy in clinical research. Yet, conventi…
Treatment Effect Estimation in Causal Survival Analysis: Practical Recommendations
Charlotte Voinot, Clément Berenfeld, Imke Mayer +2
The restricted mean survival time (RMST) difference offers an interpretable causal contrast to estimate the treatment effect for time-to-event outcomes, yet a wide range of availab…