Random effects model

A random effects model is a statistical approach used when analyzing data that involves grouped or hierarchical structures, like students within schools or patients within hospitals. It assumes that certain differences between groups are random and uncorrelated with other variables, allowing for generalizations beyond the specific groups in the study. This model helps isolate the effects that are unique to individual groups from the effects of other factors, improving the accuracy of predictions and insights in complex data sets. Overall, it provides a way to account for variability across groups while assessing overall trends.