Network Meta-Analysis course in Paris, 4th-6th December 2019

For more information, course description and registration visit:
http://livenetworkmetaanalysis.com/nma-training/




Network meta-analysis: from planning to publication


Course dates:
December 4th-6th, 2019



Course description:
Traditional meta-analytical methods commonly used for synthesizing evidence from clinical trials are limited in comparing two interventions at a time. However, for any given condition there is usually a plethora of alternative treatment options. Network meta-analysis is an extension of pairwise meta-analysis that allows the simultaneous synthesis of data from networks of trials. 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. The course will consist of theoretical and practical sessions. Participants will be asked during registration to choose between Stata and R for running the analyses.



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 trials comparing different interventions
Interpret the results of a network meta-analysis
Identify the limitations and potential sources of bias within a network of trials
Critically appraise the results from a network meta-analysis and present the findings in line with the relevant guidelines


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.



Course location:
The course will take place in the centre of Paris at the historical hotel Le Brun (47 Rue du Cardinal Lemoine, 75005 Paris) built in the early 18th century by Germain Boffrand, student of the famous architect Jules Hardouin-Mansart.



Recommended hotels:
Hotel Henri IV, 9-11 Rue Saint-Jacques, 75005 Paris

Hotel A La Villa des Artistes, 9 Rue de la Grande Chaumière, 75006 Paris

Hotel des Grandes Ecoles, 75 Rue du Cardinal Lemoine, 75005 Paris

Hotel Suez, 31 Boulevard Saint-Michel, 75005 Paris

There are also many AirBnB appartments close to the venue.



Speakers:
Anna Chaimani, University of Paris/Inserm (France)

Dimitris Mavridis, University of Ioannina (Greece)

Nicole Pitcher, Cochrane France

Gerta Ruecker, University Medical Centre of Freiburg (Germany)

Ian White, University College London (UK)



Course Fees:
Early bird registration

Student fee: €350; Academic fee: €500; Industry fee: €900

Regular registration

Student fee: €500; Academic fee: €700; Industry fee: €1200

The fees cover: course material, beverages and snacks during breaks, and lunch



Social event:
On Wednesday evening (4 December) an Apéro will be organised at a historical Bistrot of Paris. The place will be announced soon.

Cost: free for participants; €40 for additional guests

Participants should indicate their attendance during registration.



Registration:
To register, click here
Early registration available until 30 September 2019

Registration closes on 15 November 2019



Maximum number of participants: 35


Contact:
Anna Chaimani, anna.chaimani@parisdescartes.fr