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Data Analysis Using Regression and Multilevel/Hierarchical Models

Language EnglishEnglish
Book Hardback
Book Data Analysis Using Regression and Multilevel/Hierarchical Models Andrew Gelman
Libristo code: 04379008
Publishers Cambridge University Press, December 2006
Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the... Full description
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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.

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About the book

Full name Data Analysis Using Regression and Multilevel/Hierarchical Models
Author Andrew Gelman
Language English
Binding Book - Hardback
Date of issue 2006
Number of pages 648
EAN 9780521867061
ISBN 0521867061
Libristo code 04379008
Publishers Cambridge University Press
Weight 1396
Dimensions 181 x 254 x 40

Categories

Society & Social Sciences > Sociology & anthropology > Sociology > Social research & statistics
Mathematics & Science > Mathematics > Calculus & mathematical analysis
Society & Social Sciences > Politics & government
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