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This book offers a comprehensive introduction to regression analysis and multilevel (hierarchical) modeling, emphasizing both theory and practical application. It covers simple linear and logistic regression, extends to advanced multilevel models, and demonstrates how to analyze data with nested or grouped structure (e.g., students within schools). The text balances intuitive explanations with rigorous statistical methods, making it suitable for applied researchers and graduate students in social, behavioral, and biological sciences.

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245: $a: Data Analysis Using Regression and Multilevel/Hierarchical Models
245: $b:
082: $a:
100: $a: Andrew Gelman & Jennifer Hill
650: $a: Statistical modeling
250: $a: 1
440: $v:
250: $b: Cambridge University Press
250: $c: 2006
020: $a: 978-0-521-86706-1
300: $a: 648