Mixed Models
1st Edition
Published on 1. April 2023
Book
Hardback
450 pages
978-1-4665-0826-2 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
This book is intended for researchers but also would be useful to graduate students and practitioners.
Illustrations
50 s/w Abbildungen
50 Illustrations, black and white
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-1-4665-0826-2 (9781466508262)
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Schweitzer Classification
Persons
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.
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.
Content
Introductory Material. Mixed Models for Continuous Data. Generalized Linear Mixed Models. Nonlinear Models. Data Exploration, Model Building and Model Diagnostics. Extensions and Topics. Incomplete Data and Sensitivity Analysis.