THETA is recognized as a leading academic institution in Canada and internationally in the area of decision and economic modeling. The Health Modeling and Health Economics division produces high quality economic evidence to advise health policy decision makers in Ontario, and contributes to the development of health modeling and economics methodologies used throughout the world.

THETA members have expertise in designing and building decision trees, Markov models, micro-simulation, discrete event simulation, dynamic infectious disease models, as well as calibration and validation methods, and economic evaluations using person-level data. We also have methodological expertise in health preference measurement, costing using administrative data, and Bayesian methods. The division specializes in and has published on, economic evaluations, including cost-effectiveness analysis (CEA), cost-utility analysis (CUA) and cost-minimization analysis (CMA), as well as systematic reviews of economic evaluations, and methodological issues in economic evaluation. We have also conducted model calibration and validation, and budget impact analyses.

THETA investigators are pursuing research on the development and novel application of statistical methods for economic evaluation. These methods include, but are not limited to, regression based methods for mapping descriptive to utility instruments of Health Related Quality of Life, Bayesian methods for estimation of the net cost of the disease using aggregate data, analysis of censored cost data and others.