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Multilevel Modeling: Methodological Advances, Issues, and Applications, edited by Steven P. Reise and Naihua Duan, offers an in-depth look at recent developments in multilevel statistical modeling. Addressing practical challenges and theoretical debates, this volume includes contributions from leading researchers in the field and applies multilevel methods to various domains including education, psychology, and health research. Aimed at advanced researchers and applied statisticians, it is part of the Multivariate Applications book series and emphasizes real-world relevance and methodological rigor.

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