3-day course on network meta-analysis at Biarritz
Course description
For any
given condition there is usually a plethora of alternative treatment options.
Systematic reviews including several interventions, also known as comparative effectiveness
reviews, are increasingly used in the medical literature. Network meta-analysis
is an extension of pairwise meta-analysis that allows the simultaneous
synthesis of data from networks of interventions. By combining direct and
indirect information, network meta-analysis can inform every possible treatment
comparison, even those for which no head-to-head trials exist.
This course will focus on the role of network meta-analyses in
comparative effectiveness research for healthcare interventions. We will
examine the full process of a network meta-analysis from the planning stage and
the preparation of the protocol up to the final report and publication of the
manuscript. Special attention will be given in proper interpretation of the
results. The course will consist of theoretical and practical sessions. Course page available here.
Course objectives
By the end
of the course, participants will be able to:
- Understand
the concept and the main principles of network meta-analysis
- Write a
protocol for a network meta-analysis
- Understand
and evaluate the assumptions of a network meta-analysis
- Synthesize
the data from a network of interventions
- Interpret
the results of a network meta-analysis
- Identify
the limitations and potential sources of bias within a network of
interventions
- Critically
appraise the results from a network meta-analysis
- Create
visualizations and prepare the final report
Prerequisites
The course
is aimed at physicians and clinical researchers with good understanding
of quantitative analyses or epidemiologists, biostatisticians and health
economists. Some previous experience with systematic reviews and
meta-analyses, basic knowledge of statistics and some experience with R or
Stata are required for all participants. Participants will need to bring their
laptops with R or Stata installed for the practical sessions.
COVID restrictions To access this course, you must be fully vaccinated with one of the four accepted vaccines by EMA (Pfizer, Moderna, Astra Zeneca, J&J) before the beginning of course (2nd done at least 14 days before the start of the event; for the J&J vaccine it is at least 30 days before) OR have proof of recovery from the last 6 months.
If these conditions are not met, access to the course in-person will be rejected.
Course location
The course
will take place at Radisson Blu Hotel (1 Carr
d’Hélianthe, 64200 Biarritz)
Speakers
Anna Chaimani,
Inserm – Université Paris Cité (previously Université de Paris) (France)
Theodoros Evrenoglou, Université Paris Cité (France)
Silvia Metelli, Université Paris Cité (France)
Adriani
Nikolakopoulou, University Medical Centre of Freiburg (Germany)
Ian
White, University
College London (UK)
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