eBook - PDF

Data Analysis Using Regression and Multilevel/Hierarchical Models

Name: Data Analysis Using Regression and Multilevel/Hierarchical Models
Author: Andrew Gelman,Jennifer Hill

Andrew Gelman,

Jennifer Hill,

English
PDF
Available on iOS & Android

eBook - PDF

Data Analysis Using Regression and Multilevel/Hierarchical Models

Andrew Gelman,

Jennifer Hill,

About this book

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.

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Yes, you can access Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman,Jennifer Hill in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.