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This is the second edition of a monograph on generalized linear
models with random effects that extends the classic work of
McCullagh and Nelder. It has been thoroughly updated, with around
80 pages added, including new material on the extended likelihood
approach that strengthens the theoretical basis of the methodology,
new developments in variable selection and multiple testing, and
new examples and applications. It includes an R package for all the
methods and examples that supplement the book.
This is the second edition of a monograph on generalized linear
models with random effects that extends the classic work of
McCullagh and Nelder. It has been thoroughly updated, with around
80 pages added, including new material on the extended likelihood
approach that strengthens the theoretical basis of the methodology,
new developments in variable selection and multiple testing, and
new examples and applications. It includes an R package for all the
methods and examples that supplement the book.
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