Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

Despite the popularity of the general linear mixed model for data analysis, power and sample size methods and software are not generally available for commonly used test statistics and reference ...

Identification of influential cases is an important step in data analysis. However, arbitrarily perturbing a model may result in misleading inference about the influential cases. Hence, an important ...