PDF | Data Analysis Using Regression and Multilevel – Hierarchical Models

Data Analysis Using Regression and Multilevel – Hierarchical Models

Format: PDF eTextbooks
ISBN-13: 978-0521686891
ISBN-10: 052168689X
Delivery: Instant Download
Authors: Andrew Gelman
Publisher: Cambridge University Press

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. 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.