The article explores how certain groups within data tables can greatly impact the results of statistical models. By using a method based on mixed models, researchers can identify and assess the influence of specific groups on the outcomes. They applied this technique to real-world data from a clinical trial and a survey, showing that influential groups can significantly alter the analysis of categorical data.