Mixed Models - Poveda, Alvaro Florez; Ivanova, Anna; Molenberghs, Geert; Verbeke, Geert; Luyts, Martial
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Erscheint vorauss. 1. April 2026
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Research on mixed models has been extensive over the most recent decade. This book differs from the authors' previous monographs on longitudinal data in that it focuses on mixed models of a linear, generalized linear and nonlinear type. The book pays attention to recent developments that include diagnostics, semi-parametric methodology, non-normal random effects, multivariate longitudinal data, high-dimensional outcomes, joint modeling of longitudinal and survival data and discrimination and classification based on longitudinal data using mixed models.

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Produktbeschreibung
Research on mixed models has been extensive over the most recent decade. This book differs from the authors' previous monographs on longitudinal data in that it focuses on mixed models of a linear, generalized linear and nonlinear type. The book pays attention to recent developments that include diagnostics, semi-parametric methodology, non-normal random effects, multivariate longitudinal data, high-dimensional outcomes, joint modeling of longitudinal and survival data and discrimination and classification based on longitudinal data using mixed models.
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Autorenporträt
Geert Verbeke is affiliated with KU Leuven. Geert Molenberghs is affiliated with the University of Hasselt. Verbeke and Molenberghs previously published two monographs on longitudinal data, dealing with continuous longitudinal data and the non-Gaussian counterpart.