2-level model
A01=Harvey Goldstein
Author_Harvey Goldstein
Category=PBT
Discrete response data
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Hierarchically structured data
Levels of aggregation
Longitudinal discrete response data
Markov Chain Monte Carlo
MCMC
Multilevel Statistical Models
Multivariate multilevel data
Nonlinear multilevel models
Parametric proportional hazard models
Repeated measures data
Smoothing models for multilevel data
Smoothing splines
Product details
- ISBN 9780470748657
- Weight: 652g
- Dimensions: 161 x 232mm
- Publication Date: 22 Oct 2010
- Publisher: John Wiley & Sons Inc
- Publication City/Country: US
- Product Form: Hardback
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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 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.
Harvey Goldstein, Professor of social sciences, University of Bristol and Associate Editor for the Statistical Modelling Journal, and previous Editor of the Royal Statistical Society's Journal, Series A.
