Generalized Linear Models with Random Effects
Youngjo Lee, John Ashworth Nelder, Yudi Pawitan · 2006
Since their introduction in 1972, generalized linear models (GLMs) have proven useful in the generalization of classical normal models. Presenting methods for fitting GLMs with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide range of applications, including combining informati