Parcourir Faculté de pharmacie par auteur·e "Forget, Amélie"
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Impact of discretization of the timeline for longitudinal causal inference methods
Ferreira Guerra, Steve; Schnitzer, Mireille; Forget, Amélie; Blais, Lucie (Wiley, 2020-09-01)In longitudinal settings, causal inference methods usually rely on a discretization of the patient timeline that may not reflect the underlying data generation process. This paper investigates the estimation of causal parameters under discretized ... -
Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators
Bahamyirou, Asma; Blais, Lucie; Forget, Amélie; Schnitzer, Mireille (SAGE, 2018-05-02)Data-adaptive methods have been proposed to estimate nuisance parameters when using doubly robust semiparametric methods for estimating marginal causal effects. However, in the presence of near practical positivity violations, these methods can produce ...