Generalized Linear Models With Random Effects

Presenting methods for fitting generalized linear models (GLMs) with random effects to data, this book explores a 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. [...]
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Presenting methods for fitting generalized linear models (GLMs) with random effects to data, this book explores a 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. It includes material on likelihood inference.