Meta-analyses are considered the highest level of evidence in the hierarchy of evidence-based medicine and thus clinical guidelines and subsequent clinical decisions often rely on findings from such studies. They are the optimal way to collaborate with renowned doctors and influential researchers worldwide.

Course contents include:

• Importance of systematic reviews and meta-analyses
• Tips to come up with relevant topics
• Building a search strategy and conducting a systematic search on multiple databases
• Data extraction strategies
• Data arrangement
• EndNote use for PRISMA search strategy
• Quality assessment of studies
• Understanding and interpreting the different effect sizes
• Using software such as Review Manager and Open MetaAnalyst
• Pooling point estimates
• Understanding the concepts of statistical and methodological heterogeneity
• Identifying the sources of heterogeneity
• Performing subgroup analysis
• Sensitivity analysis
• Cumulative analysis
• Meta-regression
• Publication bias assessment

With published meta-analyses on your CV, you will be a distinguished candidate wherever you go.