activity
20232026
most citedA Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Causal inference via propensity scores for case-control studies

Yan Liu, Anita Koushik, Philippe Boileau +5

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…

stat.ME2026

The positivity assumption in causal mediation analyses? Checked!

Arthur Chatton, Geneviève Lefebvre, Mireille E. Schnitzer +1

Causal mediation analyses are increasingly used in psychological sciences. Among the required assumptions, positivity is unfortunately seldom mentioned, likely due to the lack of t…

stat.ME2024

trajmsm: An R package for Trajectory Analysis and Causal Modeling

Awa Diop, Caroline Sirois, Jason R. Guertin +3

The R package trajmsm provides functions designed to simplify the estimation of the parameters of a model combining latent class growth analysis (LCGA), a trajectory analysis techn…

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…

math.ST2024

Efficient adjustment sets for time-dependent treatment effect estimation in nonparametric causal graphical model

David Adenyo, Mireille E Schnitzer, David Berger +2

Criteria for identifying optimal adjustment sets yielding consistent estimation with minimal asymptotic variance of average treatment effects in parametric and nonparametric models…

stat.ME2023★ 1 cited

A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data

Cong Jiang, Denis Talbot, Sara Carazo +1

The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiveness (VE), has recently become integral to COVID-19 vaccine surveillance, notab…