Research‎ > ‎


Feel free to contact me in case you have any questions regarding the following works.

Research Interest: Causal inference, Biostatistics, Epidemiology, Statistical learningBayesian methodologies.

Keywords: Observational data analysis, Time-dependent confounding, High-dimensional propensity scoreMediation analysis, Marginal structural modelsSurvival analysis, Machine LearningLongitudinal data analysis.

Editorial / Commentary

Invited Editorial

Letter to the Editor / Reply
  • Karim, M. E.; Gustafson, P.; Petkau, J.; Tremlett, H. (2016) The Authors reply. American Journal of Epidemiology. 184 (11): 857-858.

Rapid Response

Refereed Articles


From Research Collaborations
  • Gustafson, P.; Karim, M. E. (2018) When Exposure is subject to Nondifferential Misclassification, are Validation Data helpful in Testing for an Exposure-Disease Association? The Canadian Journal of Statistics. (accepted)
  • Kwon, JY., Karim, M. E., Topaz, M., Currie, L. (2018). Nurses "seeing forest for the trees" in the age of machine learning. Computers, Informatics, Nursing (accepted).
  • Fontela, P.S.; Quach, C; Karim, M. E.; Willson, D.; Gilfoyle, E.; McNally, J.D.; Gonzales, M.; Papenburg, J.; Reynolds, S.; Lacroix, J.; on behalf of Canadian Critical Care Trials Group and Pediatric Acute Lung Injury and Sepsis Investigators. (2017) Determinants of Antibiotic Tailoring In Pediatric Intensive Care: a National SurveyPediatric Critical Care Medicine: Published online: June 28, 2017 DOI: 10.1097/PCC.0000000000001238.

    Book Chapter


    Technical Report