Multilevel Statistical Models

Multilevel Statistical Models

by Harvey Goldstein
     
 

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Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working

Overview

Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models.

Key Features:

  • Provides a clear introduction and a comprehensive account of multilevel models.
  • New methodological developments and applications are explored.
  • Written by a leading expert in the field of multilevel methodology.
  • Illustrated throughout with real-life examples, explaining theoretical concepts.

This book is suitable as a comprehensive text for postgraduate courses, as well as a general reference guide. Applied statisticians in the social sciences, economics, biological and medical disciplines will find this book beneficial.

Editorial Reviews

Booknews
Describes the application of systematic approaches to the statistical modeling and analysis of hierarchically structured data, and the core set of techniques and software packages that have been developed since the mid 1980s to apply them in education, epidemiology, geography, child growth, household surveys, and other areas. The second edition integrates new developments into the framework and terminology of the first, which was published in 1987 as Multilevel Models in Educational and Social Research by Edward Arnold, London. Annotation c. Book News, Inc., Portland, OR (booknews.com)
From the Publisher
“This book is suitable as a comprehensive text for postgraduate courses, as well as a general reference guide. Applied statisticians in the social sciences, economics, biological and medical disciplines will find this book beneficial. See the review of the third edition.”  (Zentralblatt MATH, 1 December 2013)

"This book would also serve as an outstanding general reference on multilevel models, since it offers concise and easy to follow descriptions of the various multilevel models and their applications, in addition to the references on which this work is based. I really enjoyed reading this book, and am sure that others will have a similar pleasurable experience." (Journal of Biopharmaceutical Statistics (JBS), 2012)

Product Details

ISBN-13:
9781119956822
Publisher:
Wiley
Publication date:
07/08/2011
Series:
Wiley Series in Probability and Statistics , #922
Sold by:
Barnes & Noble
Format:
NOOK Book
Pages:
382
File size:
13 MB
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This product may take a few minutes to download.

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What People are saying about this

From the Publisher
"This book would also serve as an outstanding general reference on multilevel models, since it offers concise and easy to follow descriptions of the various multilevel models and their applications, in addition to the references on which this work is based. I really enjoyed reading this book, and am sure that others will have a similar pleasurable experience." (Journal of Biopharmaceutical Statistics (JBS), 2012)

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