Data Analysis Using Regression And Multilevel Hierarchical Models

Download Data Analysis Using Regression And Multilevel Hierarchical Models PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Analysis Using Regression And Multilevel Hierarchical Models book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Data Analysis Using Regression and Multilevel/Hierarchical Models

Author: Andrew Gelman
language: en
Publisher: Cambridge University Press
Release Date: 2007
This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Data Analysis Using Regression and Multilevel/Hierarchical Models

Author: Andrew Gelman
language: en
Publisher: Cambridge University Press
Release Date: 2006-12-18
Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, 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.