25. Jun 2024
Introduction to meta-analysis (September 02-05, 2024)
Content
Meta-analysis denotes the quantitative aggregation (research synthesis) across multiple scientific studies. This course aims at understanding and applying the core concepts and the workflow to conduct a meta-analysis. It is structured along a working example to learn and perform the different steps of a standard meta-analysis: hypothesis formulation, literature search, data extraction, statistical analysis, presentation, assessment of potential bias.
Each step will be introduced by a lecture, followed by the joint working example. At the end, the group of participants will have conducted their own meta-analysis.
Specific Topics
➢ Understanding the aims and core concepts of meta-analysis
➢ Searching and compiling relevant published literature
➢ Extracting effect sizes from published studies
➢ Conducting statistical analyses across effect sizes
➢ Creating summary figures
➢ Conducting bias and sensitivity analyses
Aim
The workshop will prepare participants to compile their own datasets. They will become familiar with the basic workflow of meta-analyses and will become capable to conduct their own analyses.
Methodology
The workshop will consist of lectures, practical exercises, and discussions together with a joint working example.
Target Group and Group Size
Students, PhD students and Postdocs which want to become acquainted with meta-analyses. No previous knowledge in R or statistics will be required but is advantageous. The number of participants is restricted to 20.
Terms and Application
- September 02, September 03, September 04 and September 05:
each day 9am – 4pm - Format: on-site at MLU
- Location: Von-Seckendorff-Platz 1, SR: 5.10 (roof level)
- Group size: maximum 20
- Workshop-Language: English
Registration | closed
Trainer
Dr. Stephan Kambach, Postdoc at the Martin Luther University Halle-Wittenberg.
Dr. Christian Ristok, Postdoc at the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig.
