Geneviève Lefebvre
Professeure titulaire
Département de mathématiques,
Université du Québec à Montréal
Intérêts de recherche
- Biostatistique
- Inférence causale
- Statistique bayésienne
- Statistique computationnelle
- Épidémiologie
- Applications en santé (cancer, santé cardiométabolique, asthme, TDAH, périnatal)
Biographie
La professeure Geneviève Lefebvre est une statisticienne appliquée dont les intérêts de recherche portent sur l’inférence causale et la modélisation de la dépendance. Au cours de sa carrière, elle a participé à plusieurs projets collaboratifs avec des chercheurs en santé et des cliniciens. Sur le plan méthodologique, ses travaux récents se concentrent principalement sur l’analyse de médiation causale appliquée à l’épidémiologie. Elle s’intéresse également à l’application et au développement de méthodes causales telles que les variables instrumentales et la régression sur discontinuité.
Publications
- Gervais J, Lefebvre G, Moodie EEM. (2024). Causal mediation analysis with two mediators: A comprehensive guide to estimating total and natural effects across various multiple mediators setups. (soumis).
- Caubet M, L’Espérance K, Koushik A, Lefebvre G. (2024). An empirical evaluation of approximate and exact regression-based causal mediation approaches for a binary outcome and a continuous or a binary mediator for case-control study designs. BMC Medical Research Methodology, 24, 72.
- Mendo CW, Gaudreau P, Lefebvre G, Marrie RA, Potter BJ, Wister A, Wolfson C, Keezer MR, Sylvestre M-P. (2024). The association between grip strength and carotid intima media thickness: A Mendelian randomization analysis of the Canadian Longitudinal Study on Aging. Annals of Epidemiology, 89, 15-20.
- Fiscaletti M, Samoilenko M, Dubois J, Miron MC, Lefebvre G, Krajinovic M, Laverdière C, Sinnett D, Alos N. (2021). Predictors of vertebral deformity in long-term survivors of childhood acute lymphoblastic leukemia: The PETALE study. Journal of Clinical Endocrinology & Metabolism, 106(2): 512-525.
- Samoilenko M, Lefebvre G. (2021). Parametric regression-based causal mediation analysis of binary outcomes and binary mediators: moving beyond the rareness or commonness of the outcome. American Journal of Epidemiology, 190(9): 1846-1858.
- Léveillé P, Samoilenko M, Franco A, England J, Morel S, Malaquin N, Tu V, Cardin G B, Drouin S, Rodier F, Lippé S, Krajinovic M, Laverdière C, Sinnett D, Lefebvre G, Levy E, Marcil V. (2020). Biomarkers of cardiometabolic complications affecting survivors of childhood acute lymphoblastic leukemia. Scientific Reports, 10, 21507.
- Tounkara F, Lefebvre G, Greenwood C, Oualkacha K. (2020). A flexible copula-based approach for the analysis of secondary phenotypes in ascertained samples. Statistics in Medicine, 39(5): 517-543.
- Samoilenko M, Arrouf N, Blais L, Lefebvre G. (2020). Comparing two potential-outcome approaches in causal mediation analysis of a multicategorical exposure: an application for the estimation of the effect of maternal intake of inhaled corticosteroids doses on birthweight. Statistical Methods in Medical Research, 29(10): 2767-2782.
- Samoilenko M, Lefebvre G. (2019). Point: Risk ratio equations for natural direct and indirect effects in causal mediation analysis of a binary mediator and a binary outcome – A fresh look at the formulas. American Journal of Epidemiology, 188(7): 1201-1203.
- Caubet Fernandez M, Drouin S, Samoilenko M, Morel S, Krajinovic M, Laverdière C, Sinnett D, Levy E, Marcil V, Lefebvre G. (2019). A Bayesian multivariate latent t-regression model for assessing the association between corticosteroid and cranial radiation exposures and cardiometabolic complications in survivors of childhood acute lymphoblastic leukemia: a PETALE study. BMC Medical Research Methodology, 19(100).
- Talbot D, Rossi AM, Atherton J, Bacon SL, Lefebvre G. (2018). A graphical perspective of marginal structural models: an application for the estimation of the effect of physical activity on blood pressure. Statistical Methods in Medical Research, 27(8), 2428-2436.