
Multilevel Modeling
by E. M. Geiser (2004)
Similar to 'Practical Multilevel Modeling Using R', this book offers a deep dive into statistical methodologies.
by Sophia Rabe-Hesketh, Anders Skrondal (2008)
This textbook looks specifically at Stata's treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.
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by E. M. Geiser (2004)
Similar to 'Practical Multilevel Modeling Using R', this book offers a deep dive into statistical methodologies.

by X. Zhang (2022)
Like 'Practical Multilevel Modeling Using R', this text utilizes R for advanced statistical analysis techniques.

by J. B. Simpson (2004)
This book, akin to 'Practical Multilevel Modeling Using R', focuses on the application and methods of multilevel modeling.

by J. D. Singer (2013)
Complementing 'Practical Multilevel Modeling Using R', this book explores related longitudinal data analysis techniques.

by F. E. Harrell Jr. (2015)
Similar to 'Practical Multilevel Modeling Using R', this book provides extensive guidance on regression modeling strategies.
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