4 papers
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…
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…
Evaluation and comparison of covariate balance metrics in studies with time-dependent confounding
David Adenyo, Jason R. Guertin, Bernard Candas +2
Marginal structural models have been increasingly used by analysts in recent years to account for confounding bias in studies with time-varying treatments. The parameters of these…
Marginal structural models with Latent Class Growth Modeling of Treatment Trajectories
Awa Diop, Caroline Sirois, Jason Robert Guertin +1
In a real-life setting, little is known regarding the effectiveness of statins for primary prevention among older adults, and analysis of observational data can add crucial informa…