Mahmoud Torabi received his PhD in Statistics from Carleton University. His PhD thesis research focused on Small Area Estimation. He was awarded the University Medal for the Best Doctoral Dissertation at Carleton. He then received a full-time fellowship award from University of Alberta, awarded by Alberta Heritage Foundation for Medical Research (AHFMR), to investigate the impact of various health research topics in the province of Alberta. Dr. Torabi is currently a full-time Associate Professor of Biostatistics in the Department of Community Health Sciences at the University of Manitoba. He is also an adjunct Professor in the Department of Statistics at the University of Manitoba.
Research and Scholarly Activity
Dr. Torabi’s research areas are: Spatial and Temporal Models, Cluster Detection, Small Area Estimation, Longitudinal Data Analysis, Generalized (General) Linear Mixed Models, Measurement Errors, and Robust Statistics.
In Spatial Statistics, he is interested in developing the smooth methods to describe the geographic distribution of mortality/incidence rates. To this end, the new methods are developed to compute reliable rate estimates by borrowing information over geographic regions, while the spatial aspect of the data is also taken into account. This work also focuses capturing time trends which manifest in sequences of maps of mortality rates produced over time. The mapping of mortality rates is then used to suggest factors which may be linked to various causes of mortality. An overall description of mortality may be used by policy makers to allocate health funding.
In Cluster Detection, the interest is to detect geographic regions with high/low rates of incidence, and statistical tests are used to identify geographic regions with higher/lower incidence rates than expected by chance alone. He is interested in developing new methods to detect the regions with high number of incidence or incidence-related events.
In Small Area Estimation, his interest is to find model-based estimates and their precision including prediction intervals. Model-based estimation, via suitable linking models, is used to borrow strength across related small areas and thus improve on the traditional area-specific direct estimators. Such estimates have many applications, e.g. in public health, agriculture, economy, policy making and allocation of funds. Examples of small area estimation include, but not limited to, poverty counts of school-age children at the county level, income for small places, health-related estimates for local regions, and so on. The main tool to do inference in small area estimation is generalized (general) linear mixed model approach.
In Longitudinal Data Analysis, the repeated observations for each individual are collected over time which has many applications in public health and medicine. He is interested in analyzing the longitudinal data particularly where there are missing observations and/or covariates measured by error.
Dr. Torabi has research funds available for students interested in working as research assistant. He is also actively looking for excellent graduate students (Masters and PhD) through the Department of Community Health Sciences or Department of Statistics. If you are interested in any above research areas, please feel free to contact him.
 Rosychuk RJ, Torabi M, Rowe BH. Biostatistical Methods for Disease Cluster Detection and Spatial Modelling, Canadian Institutes of Health Research (CIHR), 2009-2012.
 Torabi M. Biostatistical Methods in Health Sciences, Start-up Fund, 2010-2013.
 Torabi M. Spatial Modeling of Incidence Rates in the Province of Manitoba, University Research Grants Program (URGP), 2011-2011.
 Torabi M. Small Area Estimation, and Spatial Statistics, Natural Sciences and Engineering Research Council of Canada (NSERC), 2011-2016.
 Torabi M. Disease Mapping in the Province of Manitoba, Manitoba Health Research Council (MHRC), 2012-2015.
 Forget E, Jackson B, Shiell A, Torabi M, Wolfson M. Is a Guaranteed Annual Income Feasible and Sustainable in Canada?, CIHR, 2011-2014.
 Bruce SG, Elliott L, Lavallee B, Torabi M, Riediger N, Daniel M, Shen G, Suh M. Exploring the Role of Established and Non-traditional Risk Factors on Diabetes and Cardiovascular Disease Among a Manitoba First Nation Population. CIHR: Regional Partnership Program, 2011-2013.