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Data Analysis Using Regression and Multilevel/Hierarchical Models

Data Analysis Using Regression and Multilevel/Hierarchical Models

Regular price $47.35 USD
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Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors own applied research with programming codes provided for each one. Topics covered include causal inference including regression poststratification matching regression discontinuity and instrumental variables as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building fitting and understanding are provided throughout. Author resource page: http://www.stat.columbia.edu/gelman/arm/

Product Details

ISBN10: 052168689X

ISBN13: 9780521686891

Author: Andrew Gelman

Binding: Paperback

Published Date: December 18, 2006

Package Weight: 1098.00g

Package Dimension: 253 x 35 x 177cm

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