Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman

Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman

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.

SKU	Unavailable
ISBN 13
Title	Data Analysis Using Regression and Multilevel/Hierarchical Models
Author	Andrew Gelman
Condition	Unavailable
Binding Type
Publisher
Year published
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.