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.
Discover the other training courses provided by the FRB-CESAB and its partners: https://frbcesab.github.io/training-courses/
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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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/literaturesynthesis/literaturesynthesis.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".