Publications méthodologiques et choisies

Liste de publications complète sur Google Scholar

Samoilenko, M., Blais, L., Lefebvre, G.  (2018). "Comparing logistic and log-binomial models for causal mediation analyses of binary mediators and rare binary outcomes: evidence to support cross-checking of mediation results in practice," Observational Studies (accepté)

Lefebvre, G., Samoilenko, M., Boucoiran, I., Blais, L. (2018). "A Bayesian finite mixture of bivariate regressions
model for causal mediation analyses," Statistics in Medicine (accepté).

Samoilenko, M., Blais, L.,  Boucoiran, I., Lefebvre, G.  (2018). "Using a mixture of bivariate regression model to
explore heterogeneity of effects of use of inhaled corticosteroids on gestational age and birthweight among
pregnant women with asthma," American Journal of Epidemiology (in press).

Lefebvre, G., Samoilenko, M. (2017). "On the use of the outcome variable "small for gestational age" when
gestational age is a mediator: a perinatal asthma perspective," BMC Medical Research Methodology. 17(1):

Samoilenko, M., Blais, L., Cossette, B., Forget, A., Lefebvre, G. (2016), “Assessing the dose-response relationship between maternal use of inhaled corticosteroids therapy and birth weight: a generalized propensity score approach,” Article 8, Observational Studies.

Talbot, D., Rossi, A.M., Bacon, S.L., Atherton, J., Lefebvre, G. (2016), “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 (in press).

Talbot, D., Lefebvre, G., Atherton, J. (2015), “The Bayesian causal effect estimation algorithm,” Journal of Causal Inference; 3(2): 207-236.

Talbot, D., Atherton, J., Rossi, A.M., Bacon, S. L., Lefebvre, G. (2015), “A cautionary note concerning the use of stabilized weights in marginal structural models,” Statistics in Medicine; 34(5): 812-823.

Lefebvre, G., Delaney, J.A.C, McClelland, R.  (2014), "Extending the Bayesian Adjustment for Confounding algorithm to binary treatment covariates to estimate the effect of smoking on carotid intima-media thickness: The Multi-Ethnic Study of Atherosclerosis," Statistics in Medicine, 33(16): 2797-2813.

Lefebvre, G., Atherton, J., Talbot, D. (2014), “The effect of the prior distribution in the Bayesian
Adjustment for Confounding algorithm,” Computational Statistics and Data Analysis; 70: 227-240.

Talbot, D., Lefebvre, G., Atherton, J. (2013), “BACprior: Sensitivity of the Bayesian Adjustment for
Confounding (BAC) algorithm to the choice of hyperparameter omega,” R package.

Lefebvre, G., Steele, R., Vandal, A. C. (2010), “A path sampling identity to compute the
Kullback-Leibler and J-divergences,” Computational Statistics and Data Analysis; Vol. 54(7): 1719-1731.

Lefebvre, G., Gustafson, P. (2010), “Impact of outcome model misspecification on regression and doubly-
robust inverse-probability-weighting to estimate causal effect,” The International Journal of Biostatistics, Vol. 6(2)

Lefebvre, G., Steele, R., Vandal, A. C, Naranayan, S., Arnold, D. (2009), “Path sampling to compute
integrated likelihoods: an adaptive approach,” Journal of Computational and Graphical Statistics; 18(2): 415-437.

Gustafson*, P., Lefebvre*, G. (2008), “Bayesian multinomial regression with class-specific predictor
selection,” Annals of Applied Statistics; Vol. 2, No. 4, 1478-1502. (*: auteurs listés en ordre alphabétique).

Moodie, E.E.M., Delaney, J.A.C., Lefebvre, G., Platt, R.W. (2008) “Missing Confounding Data in  
Marginal Structural Models: a Comparison of Inverse Probability Weighting and Multiple Imputation,”
 The International Journal of Biostatistics, 4(1), Article 13.

Lefebvre*, G., Delaney*, J.A.C., Platt, R.W. (2008), “Impact of mis-specification of the treatment model on
estimates from a Marginal Structural Model,” Statistics in Medicine, 27(18), 3629-3642. (*: premiers co-auteurs)

Lefebvre, G., Angers, J.-F., Blais, L. (2006), “Estimation of time-dependent rate ratios in case-control studies: 
Comparison of two approaches for exposure assessment,” Pharmacoepidemiology and Drug Safety; 15: 304-316.