Epidemiology
Our Epidemiology team is led by Adrian Levy and Shelagh Szabo, and operates from our offices in Canada. Adrian is the company’s scientific leader in Epidemiology. He is a widely-published commentator in Epidemiology and he holds a professorial position at Dalhousie University. This senior team is supported by a well-established team in Vancouver, as well as other epidemiological resources across the company including Kathy Beusterien in Bethesda, with Neil Hawkins and Richard Pitman in Oxford.
The Epidemiology team includes a mix of scientific and consulting expertise that provides stand-alone Epidemiology services as well as support to our Health Economics teams. Our skill base covers observational and interventional study design; data collection by interview, chart review and surveys; database management (including Oracle), analysis of trial, administrative, and registry data using SAS, R, STATA, SPLUS, and SPSS; statistical, burden of illness, and risk-benefit modeling; indirect comparison and network meta analysis, and medical writing. The Oxford Outcomes Epidemiology team has a publication track record for observational, interventional, and modeling studies, in a wide variety of clinical areas.
Databases that we have accessed and worked with include: population-based longitudinal datasets (eg. provincial health billing databases and CIHI in Canada, or the CRC and HES in the UK); those of managed care organizations (eg. Kaiser Permanente in the US); and disease-specific registries (eg. DARTS in the UK). Prior to selecting any one data source, Oxford Outcomes performs feasibility assessments of all available databases to ensure that the most appropriate dataset is selected to best meet our clients’ needs.
Our investigators include epidemiological, clinical, and biostatistical experts, with academic and industry-related experience in North America, Latin America and Europe. We liaise with a network of leading international clinical experts to ensure that study designs and analyses are appropriately targeted to maximize the relevance and timeliness of the results.
- Infectious disease modelling (using dynamic modelling techniques).
- Network meta analysis.
- Pricing research including value-based pricing.