4 citations · 4 across the 5 of their papers we have counts for
5 papers
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…
Neural Bandits for Data Mining: Searching for Dangerous Polypharmacy
Alexandre Larouche, Audrey Durand, Richard Khoury +1
Polypharmacy, most often defined as the simultaneous consumption of five or more drugs at once, is a prevalent phenomenon in the older population. Some of these polypharmacies, dee…
A bootstrap approach for validating the number of groups identified by latent class growth models
Miceline Mésidor, Caroline Sirois, Marc Simard +1
The use of longitudinal finite mixture models such as group-based trajectory modeling has seen a sharp increase during the last decades in the medical literature. However, these me…
An Alternative Perspective on the Robust Poisson Method for Estimating Risk or Prevalence Ratios
Denis Talbot, Miceline Mésidor, Yohann Chiu +2
The robust Poisson method is becoming increasingly popular when estimating the association of exposures with a binary outcome. Unlike the logistic regression model, the robust Pois…
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…