Meta-analysis is the quantitative component of a systematic review that combines estimates from two or more studies to produce a summary treatment effect estimate.
When conducting a meta-analysis, it is inevitable that the included studies will exhibit heterogeneity. Properly exploring and adjusting for heterogeneity is a key component of most meta-analyses.
This webinar, part of the Statistical analysis in systematic reviews series, discussed various approaches to exploring heterogeneity in meta-analysis, from the planning stage to the final report.
This webinar was primarily aimed at Cochrane authors and trainers from Lower Middle Income Countries (LMICs), although it was open to everyone. It was delivered in September 2025 and below you will find the videos from the webinar, together with the accompanying slides to download [PDF].
Presenter Bio
Dr. Theodoros Evrenoglou is a Postdoctoral Research Associate at the Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg. His research primarily focuses on advancing statistical methods for pairwise and network meta-analysis. Dr. Evrenoglou is a co-convenor of the Statistical Methods Group in Cochrane and also actively engaged in developing statistical software and has contributed to the development of R packages as well as user-friendly R-Shiny applications.
