null Robert Platt, PhD

Senior Scientist, RI-MUHC

Child Health and Human Development Program

Centre for Outcomes Research and Evaluation

Professor, Department of Pediatrics, Faculty of Medicine, McGill University



statistical methods • causal inference • perinatal epidemiology • pharmacoepidemiology • high-dimensional data

Research Focus

My research focuses on research methods for epidemiologic research. Many statistical tools were not designed to address challenges of modern epidemiology. We would like to infer causation in complex problems, and we deal regularly with "big data" (large administrative databases of health care utilization). Traditional statistical methods can give biased results in these situations. My team develops methods to address these problems, and implements and evaluates these new methods in research problems in perinatal epidemiology and in drug safety.

Selected Publications

Click on Pubmed to see my current publications list

  • Schnitzer ME, van der Laan MJ, Moodie EEM, Platt RW. Effect of Breastfeeding on Gastrointestinal Infection in Infants: A Targeted Maximum Likelihood Approach for Clustered Longitudinal Data. Annals of Applied Statistics. 2014 Jan. Volume 8, Number 2 (2014), 703-725. PMID: 25505499.

  • Platt RW, Brookhart MA, Cole SR, Westreich D, Schisterman EF. An information criterion for marginal structural models. Stat Med. 2013 Apr 15;32(8):1383-93. PMCID: PMC4180061.

  • Schnitzer M.E., Moodie E.E.M., Platt, R.W., "Targeted maximum likelihood estimation for marginal time-dependent treatment effects under density misspecification " Biostatistics. 2013 Jan;14(1):1-14. PMID: 22797173.

  • Villandré, L., Hutcheon, J.A., Perez Trejo, M.E., Abenhaim, H., Jacobsen, G., and Platt, R.W. Modeling Fetal Weight for Gestational Age: A Comparison of a Flexible Multi-level Spline-based Model with Other Approaches. The International Journal of Biostatistics: 2011:Vol. 7: Iss. 1, Article 3 PMID: 21931571.

  • Buck Louis, Germaine M., and Platt, R.W., eds. Reproductive and Perinatal Epidemiology. (2011) Oxford University Press, New York.