A Two-Day Hands-On Workshop
with Dr. George A. Wells
Network meta-analysis is a general term for the statistical method used to compare multiple treatments and their alternatives simultaneously. The method involves combining direct and indirect evidence in a single analysis, resulting in summary estimates of efficacy or safety for treatments that may not have been compared head-to-head in a randomized controlled trial. It is also known as mixed or indirect treatment comparisons.
The workshop will provide an overview of network meta-analysis and its applications, including demonstrations of worked examples using SAS and WinBUGs, and hands-on sessions where participants will work through real-world examples.
- Introduction to indirect treatment comparisons
- Network meta-analysis methods: Bucher approach, frequentist network meta-analysis, Bayesian network meta-analysis
- Heterogeneity, consistency, convergence and prior distributions
- Worked example using Bayesian and frequentist approaches
- WinBUGS installation, exercise examples and datasets, and overview to breakout analysis sessions and plenary report back sessions
- Hands-on exercises, with breakout analysis sessions and plenary report-back sessions, on topics including:
- Safety and effectiveness of new oral anti-coagulants in patients with atrial fibrillation
- Efficacy of combined resynchronization and implantable defibrillation therapy in patients with left ventricular dysfunction
- Efficacy of biologics in treating patients with rheumatoid arthritis
- Advantages of using network meta-analysis to inform economic evaluations; integration with WinBUGS/MS Excel
- Methodological issues, Guidance on planning and report writing on a network meta-analysis
|“The presenters were excellent. They were very helpful and patient.
The workshop was well organized and I appreciate the access to the Cloud and the
YouTube videos. Definitely met all my expectations.”
– Comment from 2012 Workshop Participant
- Awareness of the role of indirect evidence in comparing treatments when direct clinical evidence is not available
- Understanding Bayesian and frequentist approaches to network meta-analysis
- Ability to conceive, implement, and conduct a network meta-analysis
- Understanding of the cautions and limitations associated with conducting and interpreting network meta-analysis
The course will be presented in English.
Prerequisites: An understanding and appreciation for systematic reviews and meta-analysis.
Victoria Conference Centre
- Academic/government: $1,999 (plus HST)
- Commercial organizations: $3,999 (plus HST)
For More Information
Visit NMA Workshop for more information or to register for this event. Please contact Dale Calder at 613-226-2553, ext. 1241 or firstname.lastname@example.org with any questions.
George A. Wells is a Professor in the Department of Epidemiology and Community Medicine at the University of Ottawa and Director of the Cardiovascular Research Methods Centre at the University of Ottawa Heart Institute. He is also a Professor in the Department of Medicine and a Senior Investigator at the Ottawa Hospital Research Institute at The Ottawa Hospital. Dr. Wells is the author or co-author of over 600 published articles and 900 scientific abstracts. He has been the principal investigator or co-investigator on over 200 research projects. He has taught at the university graduate and undergraduate level for 30 years and has supervised over 60 graduate students.
Chris Cameron is a Vanier Canada Graduate Scholar in the Department of Epidemiology and Community Medicine at the University of Ottawa. He is also Lead, Health Economics, at the Canadian Agency for Drugs and Technologies in Health. His research focuses on health technology assessment, with a particular emphasis on Bayesian evidence synthesis, decision-analytic modelling, and health economic evaluation.
Shannon Kelly coordinates research activities for a CIHR-DSEN funded network meta-analysis (CCNMA) team grant led by George A. Wells and the University of Ottawa Heart Institute Cardiovascular Research Methods Centre. She is currently finishing graduate work in Epidemiology at the University of Ottawa. Shannon’s research focuses on health technology assessment, post-market drug safety and effectiveness, knowledge synthesis methods and clinical study design.
You should consider taking this workshop if you are starting to encounter network meta-analysis or indirect treatment comparisons in your work and don’t know what it is, how to do it, or how to interpret the results:
- Health care and health policy organizations, health technology assessment bodies
- Pharmaceutical and medical device industry
- Academic and research institutions
- Biostatisticians and methodologists
- Health insurance organizations