Michael A Talias

Michael A Talias is an Associate Professor at the Open University of Cyprus within the Faculty of Economics and Management, specializing in Health Economics and Statistics. With a BSc in Actuarial Science, MSc in Social Statistics, and PhD in Statistics, he has established himself as a prominent researcher in healthcare systems analysis.

His educational background includes:

• BSc in Actuarial Science
• MSc in Social Statistics
• PhD in Statistics

Professor Talias's research primarily focuses on health economics, pharmaceutical policy, quality of life assessment, and statistical analysis in healthcare contexts. His work spans multiple domains including pharmaceutical economics, health technology assessment, and the impact of economic crises on healthcare systems. He has made significant contributions to understanding medication pricing, healthcare financing, and sustainable healthcare practices, particularly in the Mediterranean region. His research often employs advanced statistical methods including structural equation modeling and item response theory.

His publication record shows a clear progression of research interests toward healthcare system sustainability, pharmaceutical cost containment, and quality of life assessment across various patient populations. Recent work demonstrates increasing focus on biosimilars adoption, medical tourism, and the economic implications of chronic disease management.

Professor Talias leads research activities through his dedicated laboratory at the Open University of Cyprus and maintains active collaborations with healthcare researchers across Greece and Cyprus. His work has been cited over 3,200 times, demonstrating significant impact in his fields of expertise.

His research portfolio includes extensive work on healthcare system efficiency, pharmaceutical economics, and quality of life assessment across various medical conditions. He has contributed to understanding the economic burden of diseases like asthma, the effectiveness of healthcare interventions, and the impact of policy changes on healthcare delivery. His work often bridges the gap between statistical methodology and practical healthcare applications.