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, the UMS PatriNat and the Cirad HortSys 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 slides are available in English in the tab Courses/
.
Monday | Icebreaker & Introduction to the week |
Introduction to meta-analyses | |
Involving stakeholders & Formulating questions | |
The Protocol | |
Bibliographic databases & Search equations | |
Constitution of the corpus | |
Article screening: Systematic methods & Eligibility criteria | |
Full-text retrieval | |
Tuesday | Introduction to automated screening techniques |
AI-assisted screening | |
Reporting | |
Systematic maps: Metadata extraction | |
Qualitative metadata extraction: Machine learning approach | |
Data visualization | |
Critical appraisal: understanding its importance | |
Wednesday | Meta-analyses: quantitative approaches |
Quantitative data extraction: what tools are available? | |
Risk of bias and interpretation of meta-analysis results | |
Going beyond global mean effect size | |
Thursday - Friday | Subgroups projects |
Please follow this tutorial to install your working environment before attending the training course. Note: for this course only R and RStudio Desktop are required.
Discover the other training courses provided by the FRB-CESAB and its partners: https://frbcesab.github.io/content/courses.html
Langridge J, Beillouin D, Bonfanti J, Campagne CS, Casajus N, Gosselin F, Ouédraogo D-Y, Petit C, Sordello R & Veytia D (2024) FRB-CESAB, UMS PatriNat & Cirad HortSys 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 ...".