معرفی
Kristian Thorlund is a Part-Time Lecturer at McMaster University's Michael G. DeGroote School of Medicine, affiliated with the Department of Health Research Methods, Evidence, and Impact. He specializes in network meta-analysis, Bayesian statistics, and real-world evidence synthesis, with particular focus on clinical trial methodology and health technology assessment.
- 2016 recognition as one of McMaster's most cited researchers
- Developed the Highly Efficient Clinical Trials Simulator (HECT)
- Active contributor to GRADE guidelines and Cochrane systematic reviews
His research spans multiple domains including:
- Advanced statistical methods for indirect treatment comparisons
- Adaptive clinical trial designs for rare diseases
- Artificial intelligence applications in evidence synthesis
- Real-world data integration for regulatory decision-making
Thorlund's recent publications (2022-2025) demonstrate methodological innovations in:
- COPD combination therapy analysis
- COVID-19 treatment evaluation
- Personalized oncology outcome measurement
- AI-driven literature review systems
- Surrogate endpoint validation
Key contributions include:
- Developing bias quantification frameworks
- Advancing living network meta-analysis methodology
- Improving patient data management systems
- Standardizing master protocol reviews
Thorlund collaborates extensively with:
- Global health organizations
- Pharmaceutical companies
- AI development teams
- International clinical trial networks
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