Data Analysis Using Regression and Multilevel/Hierarchical Models

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Cambridge University Press, 2007 - Mathematics - 625 pages
6 Reviews
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/

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LibraryThing Review

User Review  - Harlan879 - LibraryThing

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 ... Read full review

Review: Data Analysis Using Regression and Multilevel/Hierarchical Models

User Review  - Asa - Goodreads

This is my favorite statistics book, written by a former professor at the Columbia stats department. Its my number 1 reference book on my desk at work. Lots of coding examples with R in applied ... Read full review

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Data Analysis Using Regression and Multilevel/Hierarchical Models ...
Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis ...
www.cambridge.org/ catalogue/ catalogue.asp?isbn=9780521686891

Data Analysis Using Regression and Multilevel/Hierarchical Models ...
Data Analysis Using Regression and. Multilevel/Hierarchical Models. (Final version: 5 July 2006). Please do not reproduce in any form. without permission ...
www.stat.columbia.edu/ ~gelman/ arm/ contents.pdf

New Economist: New book: 'Data Analysis Using Regression and ...
Data Analysis Using Regression and Multilevel/Hierarchical Models (CUP) Anyone familiar with Andrew Gelman's excellent blog, Statistical Modeling, ...
neweconomist.blogs.com/ new_economist/ 2007/ 01/ gelman_hill.html

citeulike: Data Analysis Using Regression and Multilevel ...
Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis ...
www.citeulike.org/ user/ plm/ article/ 1334704

Yu-Sung Su's Blog: arm: Data Analysis Using Regression and ...
Data Analysis Using Regression and Multilevel/Hierarchical Models. NY: Cambridge University Press. has been released. As of January 9, 2007, ...
yusung.blogspot.com/ 2007/ 01/ arm-data-analysis-using-regression-and.html

Blackwell Synergy - J Educational Measurement, Vol 45, Issue 1 ...
Data analysis using regression and multilevel/hierarchical models, by Gelman, A., & Hill, J. Reviewed byBrandon K. Vaughn. pages 94–97 ...
www.blackwell-synergy.com/ toc/ jedm/ 45/ 1

Barnes & Noble.com - Books: Data Analysis Using Regression and ...
Data Analysis Using Regression and Multilevel/Hierarchical Models, Gelman, Andrew Gelman, Paperback, Analytical Methods for Social Research S, 1ST, 1, Book, ...
search.barnesandnoble.com/ Data-Analysis-Using-Regression-and-Multilevel-Hierarchical-Models/ Andrew-Gelman/ e/ 97805216...

Remarks and Corrections Multilevel Textbook
Andrew Gelman and Jennifer Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press, 2007. ...
stat.gamma.rug.nl/ mlbook1.htm

multilevel modelling books
Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press. Google Books. The home page for this book is ...
www.cmm.bristol.ac.uk/ learning-training/ multilevel-m-support/ books.shtml

Political Science 532 Quantitative Political Analysis II (aka “the ...
Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University. Press, Chapter 11 and 12 and 13.1 - 13.5 ...
www-personal.umich.edu/ ~jwbowers/ CLASSES/ PS532f07/ ps532f07syl.pdf

About the author (2007)

Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002).

Jennifer Hill is Assistant Professor of Public Affairs in the Department of International and Public Affairs at Columbia University. She has co-authored articles that have appeared in the Journal of the American Statistical Association, American Political Science Review, American Journal of Public Health, Developmental Psychology, the Economic Journal and the Journal of Policy Analysis and Management, among others.

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