An Introduction to Generalized Linear Models

The comments of Lang in his review of the second edition, that 'This relatively short book gives a nice introductory overview of the theory underlying generalized linear modelling. !' can equally be applied to the new edition. ! three new chapters on Bayesian analysis are also added. ! suitable for experienced professionals needing to refresh their knowledge ! . --Pharmaceutical Statistics, 2011 The chapters are short and concise, and the writing is clear ! explanations are fundamentally sound and aimed well at an upper-level undergrad or early graduate student in a statistics-related field. This is a very worthwhile book: a good class text and a practical reference for applied statisticians. --Biometrics This book promises in its introductory section to provide a unifying framework for many statistical techniques. It accomplishes this goal easily. ! Furthermore, the text covers important topics that are frequently overlooked in introductory courses, such as models for ordinal outcomes. ! This book is an excellent resource, either as an introduction to or a reminder of the technical aspects of generalized linear models and provides a wealth of simple yet useful examples and data sets. --Journal of Biopharmaceutical Statistics, Issue 2 Praise for the Second Edition The second edition ! is successful in filling a void in the otherwise sparse literature on the subject of generalized linear models at the introductory level ! a wide range of research applications are covered and ample workings are also provided to aid the reader in statistical calculations ! I would highly recommend this text ! . --Kerrie Nelson, Statistics in Medicine, Vol. 23