metaregressioanalyysi
Metaregression analysis is a statistical technique used within the broader field of meta-analysis to examine the relationship between study characteristics and effect sizes. Meta-analysis combines results from multiple independent studies to derive a more precise estimate of a treatment effect or association. Metaregression extends this approach by investigating how effect sizes vary across studies based on covariates such as study design, population characteristics, or methodological differences.
The primary goal of metaregression is to identify sources of heterogeneity—the variability in effect sizes that
Metaregression assumes that effect sizes follow a normal distribution and often employs weighted least squares or
Critics note that metaregression can be sensitive to outliers and may yield unstable results if predictors