Generalized Linear Models with Random Effects 'Unified Analysis via H-likelihood'

Presenting methods for fitting generalized linear models (GLMs) with random effects to data, Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood explores a wide range of applications, including meta-analysis of combining information over trials, analysis of frailty models for survival data, and analysis of spatial models with correlated errors. Punctuated by real examples from medicine, epidemiology, agriculture, and more, the book includes background material on likelihood inference and GLMs as well as topics such as frailty models. It computes methods using Genstat, with datasets and software available on CD and online, making it easy to test alternative analyses.
• Chapman & Hall/CRC Monographs on Statistics & Applied Probability
Statistical Theory & Methods
Statistics for the Biological Sciences
Statistics & Computing
Reference
Professional