Data Analysis Using Regression and Multilevel/Hierarchical Models

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


ISBN
9780521686891
Published
Binding
Paperback
Pages
648
Dimensions
179 x 254 x 35mm

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.
EOFY 2025 Book Frenzy
92.64
RRP: $108.99
15% off RRP


This product is unable to be ordered online. Please check in-store availability.
Instore Price: $108.99
Enter your Postcode or Suburb to view availability and delivery times.

Other Titles by Andrew Gelman

Bayesian Data Analysis
127.99
108.79
15% Off

You might also like


RRP refers to the Recommended Retail Price as set out by the original publisher at time of release.
The RRP set by overseas publishers may vary to those set by local publishers due to exchange rates and shipping costs.
Due to our competitive pricing, we may have not sold all products at their original RRP.