Coulombe, Janie
- Assistant Professor
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Faculty of Arts and Science - Department of Mathematics and Statistics
André-Aisenstadt Office 4243
Courriels
Courses
- STT1700 H - Introduction à la statistique
- STT3781 H - Laboratoire de statistique
Research area
I am interested in developing causal estimators with good statistical properties, that apply to observational data which carry special features. For instance, recently, I focused on irregular visits or observation of an important process in the estimation of a causal effect (some papers are available at the bottom, related to this topic).
Currently, I am particularly interested in developing more robust and efficient causal estimators. With Prof. Shu Yang (NCSU) we developed a quadruply robust estimator for the marginal causal effect (https://arxiv.org/abs/2304.08987) that is more flexible and efficient than the previous existing estimator for settings with irregular visits and confounding.
I had the chance to work on the development of optimal treatment strategies and missing data imputation. Currently, I am interested in comparing multiple imputations of missing values to inverse intensity of visit weighting strategies (in progress).
Eventually, I'd like to study tools to find optimal adjustment sets in causal diagrams (related to irregular visits) as well combining stochastic processes in continuous time with causal ifnerence.
For more info, please see https://janiecoulombestat.github.io or papers can be found on Google scholar at https://scholar.google.com/citations?user=UmVoZQwAAAAJ&hl=fr&oi=ao .
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Papers on irregular visits
Coulombe, J., E. E. Moodie, S. M. Shortreed, et C. Renoux (2023). "Estimating individualized treatment rules in longitudinal studies with covariate-driven observation times." Statistical Methods in Medical Research (sous presse).
Coulombe, J., E. E. Moodie, R. W. Platt and C. Renoux (2022). "Estimation of the Marginal Effect of Antidepressants on Body Mass Index under Confounding and Endogenous Covariate-Driven Monitoring Times." Annals of Applied Statistics 16(3): 1868--1890.
Coulombe, J., E. E. Moodie and R. W. Platt (2021). "Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies." Biometrics 77(1): 162-174.
Coulombe, J., E. E. Moodie and R. W. Platt (2021). "Estimating the marginal effect of a continuous exposure on an ordinal outcome using data subject to covariate'-'driven treatment and visit processes." Statistics in Medicine 40(26): 5746-5764.
Student supervision Expand all Collapse all
Abstract
Awards and Recognition
- Prix Pierre Robillard Remis par la Société Statistique du Canada en reconnaissance à la meilleure thèse de doctorat dans un domaine en statistique pour une année donnée au Canada., 2022