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Data Analysis Using Regression and…
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Data Analysis Using Regression and Multilevel/Hierarchical Models

by Andrew Gelman

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A good comprehensive survey of the topics. But, different sections assume different levels of background knowledge, from nearly nothing to grad-level statistics theory. I like their views on the relative importance of modeling vs. hypothesis testing, and in particular the emphasis on graphs/visualization. Also like the use of R/lmer and BUGS, and am sympathetic to their somewhat critical view of the terminology of mixed-effects models, despite the close connection to their preferred Bayesian view. ( )
  Harlan879 | Jul 22, 2009 |
Oops, this is actually over my head. I need to do a little preparatory reading first. Will I ever get around to this?
  leeinaustin | Mar 16, 2009 |
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Amazon.com Product Description (ISBN 052168689X, Paperback)

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/

(retrieved from Amazon Mon, 30 Sep 2013 13:27:21 -0400)

"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 and demonstrates a wide variety of models, at the same time instructing the reader in how to fit these models using freely available software packages."--BOOK JACKET.… (more)

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