Introduction to Meta-analyses and Systematic reviews

FRB-CESAB & UMS PatriNat training course

Joseph Langridge (FRB) , Damien Beillouin (Cirad HortSys) , Jonathan Bonfanti (INRAe Eco&Sols) , C. Sylvie Campagne (Station Biologique de Roscoff) , Nicolas Casajus (FRB-CESAB) , Frédéric Gosselin (INRAe) , Dakis-Yaoba Ouédraogo (UMS PatriNat) , Romain Sordello (UMS PatriNat)

  Pre-registration opens each spring and training course is provided each fall. Subscribe to the FRB-CESAB newsletter to stay informed. More information is available on the FRB-CESAB website.

The objective of this five-day training course, co-organized by the FRB-CESAB and the UMS PatriNat is to train young researchers on the methods and techniques of meta-analyses and systematic reviews/maps applied to the field of biodiversity.

N.B. This training course is in French, but some slides are available in English in the tab Courses/.


Monday Icebreaker & Introduction to the week
Introduction to knowledge synthesis
The systematic review protocols
Bibliographic databases (Web of Science, Scopus, Google Scholar)
Formulation of the search equation (PECO/PICO approach)
Constitution of the corpus (Zotero, Mendeley)
Corpus cleaning
Tuesday Article screening: systematic methods
Article selection: eligibility criteria
Metadata extraction
Qualitative synthesis and data visualization
Wednesday Critical appraisal: understanding its importance
How to calculate an effect-sizes?
Quantitative data extraction: what tools are available?
Quantitative synthesis: visualizing the data (forest plots, etc.)
Risk of bias and interpretation of meta-analysis results
Thursday Subgroups projects
Friday Subgroups projects


Please follow this tutorial to install your working environment before attending the training course.

See also

Discover the other training courses provided by the FRB-CESAB and its partners:


Langridge J, Beillouin D, Bonfanti J, Campagne CS, Casajus N, Gosselin F, Ouédraogo D-Y & Sordello R (2023) FRB-CESAB & UMS PatriNat training course: Introduction to meta-analyses and systematic reviews.


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