Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research) - Hardcover

Gelman, Andrew; Hill, Jennifer

Hardcover

ISBN 10: 0521867061 ISBN 13: 9780521867061

Verlag: Cambridge University Press, 2006

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002).

Details zur Ausgabe

• Verlag: Cambridge University Press
• Erscheinungsdatum: 2006
• Sprache: Englisch
• ISBN 10: 0521867061
• ISBN 13: 9780521867061
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 648
• Kontakt zum Hersteller: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italien