Metaanalízisben

Metaanalízisben is the Hungarian term for "in meta-analysis." A meta-analysis is a statistical technique that combines the results of multiple scientific studies to derive a pooled result. This pooled result provides a more precise estimate of the effect of an intervention or the association between variables than any single study could provide alone. Meta-analysis is commonly used in fields such as medicine, psychology, and economics to synthesize existing research and draw stronger conclusions.

The process of conducting a meta-analysis involves several key steps. First, researchers identify relevant studies by performing a systematic literature search. They then assess the quality of these studies and decide which ones to include based on pre-defined criteria. Once included, data from each study are extracted and statistically analyzed. This typically involves calculating an effect size for each study and then combining these effect sizes using appropriate statistical models, such as fixed-effect or random-effects models, to produce an overall estimate.

Meta-analysis is valuable because it can increase statistical power, resolve uncertainty when individual studies have conflicting results, and identify patterns or inconsistencies across studies. It is a powerful tool for evidence-based practice, helping to guide clinical decisions and inform policy. However, the validity of a meta-analysis depends heavily on the quality and homogeneity of the included studies. Biases present in individual studies can be amplified in a meta-analysis if not properly addressed.