The article discusses mixed models with normally distributed errors, which are used in statistical analysis. These models include fixed effects and random effects to account for different factors. The researchers describe how to fit mixed models using likelihood functions and introduce a Bayesian approach. They also address practical issues and provide a real-life example of analyzing treatments for hypertension in a multi-centre trial.