Seminar Series: Petros Pechlivanoglou
Estimating real-world health care costs using microsimulation methods
Petros Pechlivanoglou
Senior Scientist
The Hospital for Sick Children (SickKids) Research Institute
Associate Professor
Institute of Health Policy Management and Evaluation
University of Toronto
Adjunct Scientist
Cancer Research Program
Institute for Clinical Evaluative Sciences
Short Biography:
Petros Pechlivanoglou, PhD, is a Senior Scientist at The Hospital for Sick Children (SickKids) Research Institute and an Associate Professor at the University of Toronto, Institute of Health Policy Management and Evaluation. He received an MSc in econometrics and a PhD in health econometrics from the University of Groningen, the Netherlands. Subsequently, he completed a post-doctoral fellowship at the University of Toronto, within the Toronto Health Economics and Technology Assessment (THETA) Collaborative where he focused on methodological aspects around the application of decision analysis in health-care policy.
Dr. Pechlivanoglou’s research interests focus on methods and applications of decision analysis in health economics, bridging evidence synthesis, real-world data, causal inference and decision analysis, and the application and extension of predictive models in health economics.
He has received funding from various funding sources including the Canadian Institute for Health Research, the Canadian Respiratory Research Network and the Ontario Early Researcher Award to work on projects around the economics of pre-term birth prevention, health economics in pediatric oncology, the use of decision analysis in paediatric clinical trial design, and the economic impact of COPD in adults.
Abstract:
We have recently illustrated the feasibility of combining administrative data with microsimulation modeling, multistate regression analysis (for time to event data) and generalized linear modeling (for cost data) to generate estimates of long-term healthcare costs and survivors' costs after disease diagnosis. This presentation will provide an overview of the methods and processes used, will highlight strengths and limitations of the methods, will showcase their use and provide practical recommendation of how to perform such estimation-simulation approaches. We will further discuss next steps ahead that will examine the properties of our method under different data structures.
Keywords: Simulation, modeling, multistate health economics
Date: Friday, October 14th
Time: 1:30 pm - 2:30 pm
Location: PHFM 3015 (Western Centre for Public Health and Family Medicine)
