Type I and Type II Error Under Random‐Effects Misspecification in Generalized Linear Mixed Models
Type I and Type II Error Under Random‐Effects Misspecification in Generalized Linear Mixed Models
Summary Generalized linear mixed models (GLMMs) have become a frequently used tool for the analysis of non‐Gaussian longitudinal data. Estimation is based on maximum likelihood theory, which assumes that the underlying probability model is correctly specified. Recent research is showing that the results obtained from these models are not always …