Meta-analysis

Scientific research often involves navigating a vast and sometimes contradictory body of prior studies. Evidence synthesis, therefore play a crucial role, with meta-analysis, the statistical procedure helps combining results across studies or analysis. As meta-analysis has become integral in many disciplines, including medicine, social sciences, and biology, it is now a standard part of many academic curricula, equipping researchers with essential tools for evidence-based inquiry.

What is meta analysis

Meta-analysis is a statistical method that systematically combines and quantitatively summarizes results from multiple individual studies to produce a single, more precise estimate of an effect or relationship within a defined research question

Individual Participant Data meta-analysis

A more advanced form, known as Individual Participant Data (IPD) meta-analysis, combines raw data from each study instead of summary statistics, allowing for standardized analyses and deeper exploration of factors influencing outcomes. However, IPD meta-analyses remain less common due to the difficulty in accessing original datasets, despite their methodological advantages.

This guidance is currently under development by the relevant ESCA Working Group. 

This guidance is currently under development by the relevant ESCA Working Group. 

This guidance is currently under development by the relevant ESCA Working Group. 

This guidance is currently under development by the relevant ESCA Working Group.