Lugano, Switzerland

A Practical Introduction to the Meta-Analysis Toolkit

blended course
when 22 August 2024 - 24 August 2024
language English
duration 1 week
credits 1 EC
fee EUR 850

Systematically synthesizing studies stands as a critical element in advancing knowledge and facilitating informed decision-making in public health practice, policy, and research. One important way to synthesize evidence is through meta-analysis. Meta-analysis is a statistical toolkit used to consolidate findings from multiple primary studies, allowing for a robust estimation of the pooled effect size and to assess the quantitative heterogeneity across available estimates. Thus, in this course, participants will learn how to conduct meta-analysis and interpret their results. Particular emphasis will be placed on meta-analytic methods to pool the quantitative evidence available, describing the different types of models available and how to assess quantitative heterogeneity (ie. variability of intervention effects across studies) including specific test of homogeneity, outlier detection, and meta-regression analysis. We will also examine methods to assess small studies effects, publication bias, and sensitivity analyses. We will learn how to interpret and report meta-analysis results including forest plots and graphical ways to detect small-study effects (publication bias). A basic introduction to the freely available software R will also be provided and used to perform meta-analysis and meta-regressions.

Course leader

Prof. Gian Luca Di Tanna, Dr. Joseph Alvin Ramos Santos, Emilia Riggi - PhD, Robert Grant

Course aim

y the end of the course participants will:
- Know the basic methods of the meta-analytic toolkit;
- Be able to describe and interpret the results of meta-analysis;
- Be able to perform a full meta-analysis using R.

Credits info

1 EC
In order to get the Certificate of completion and the 1 ECTS participants MUST:
- Attend at least 80%of the course;
- Attend the plenary(s) offered during the days of the course;
- Actively participate in the course.

Fee info

EUR 850: Online participation. 850 CHF as early bird price (until May 1st), 1000 CHF as normal price (after May first).
CHF 1000: Onsite participation. 1000 CHF as early bird price (until May 1st), 1200 CHF as normal price (after May first).


Discounts are available for PhD and Master students and participants from LMICs. Some scholarships are available especially for participants from LMICs.