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Dr. Russell J. Steele
Senior Investigator and Biostatistician, Centre for Clinical Epidemiology, Lady Davis Institute
Associate Professor, Department of Mathematics and Statistics, McGill University
Dr. Russell J. Steele is an Associate Professor in the Department of Mathematics and Statistics at McGill University and a Research Investigator in the Centre for Clinical Epidemiology at the Jewish General Hospital. He received his PhD in statistics from the University of Washington in 2002 and began collaborating with researchers at the Jewish General Hospital soon after arriving to McGill. He has not only published papers in statistics journals, but also made important contributions to research in rheumatology, sports medicine, cancer, cardiovascular treatments, and epidemiology. He has a deep interest in applied statistics, in particular collaborating with researchers in other disciplines to improve the state of statistical methods in their areas and to develop new approaches to analyzing data.
Major Research Activities
Dr. Steele's primary statistical research interests are in the analysis of missing data and model selection using computationally intensive Bayesian approaches. Dr. Steele also has worked on problems in applying statisics to other fields, particularly applications in medical and population health research. He is a member of the Canadian Scleroderma Research Group (CSRG) and has collaborated closely with several physicians on problems related to analyzing data from the CSRG patient registry. He has also worked on epidemiology methodological problems relating to meta-analysis and the analysis of sports injury data.

Recent Publications
Steele, R.J., Wang, N., and Raftery, A.E. Inference from Multiple Imputation for Missing Data Using Mixtures of Normals,  Statistical Methodology (7) 351–365 (2010).

Hudson, M., Impens, A., Baron, M., Siebold, J.R., Thombs, B.D., Walker, J.G., CSRG, and Steele, R. Discordance between Patient and Physician Assessments of Disease Severity in Systemic Sclerosis,  Journal of Rheumatology. To appear. (2010).

Shrier, I., Steele, R.J., Hanley, J., Rich, B. Analyses of injury count data: some dos and some donts,  American Journal of Epidemiology (170) pp. 1307–15 (2009).
Professor Steele is an expert in the areas of missing data and Bayesian model selection.

He has published important papers improving statistical methods for the analysis of data in rheumatology (particularly scleroderma), cardiovascular medicine, cancer, and epidemiology.

He practices, and believes in, intimate collaboration between methodological research statisticians and biostatisticians, epidemiologists, and clinicians, in order to solve hard statsitical problems in the analysis of health care and medical data.
Important Links

Professor Steele's homepage at McGill University

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