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Mixed Effects Models for Complex Data
Paperback
Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probab
ISBN13: 9780367384913
Publisher: CRC Press
Published: Sep 5 2019
Pages: 440
Weight: 1.25
Height: 1.00 Width: 6.00 Depth: 8.90
Language: English
Presenting effective approaches to address missing data, measurement errors, censoring, and outliers in longitudinal data, this book covers linear, nonlinear, generalized linear, nonparametric, and semiparametric mixed effects models. It links each mixed effects model with the corresponding class of regression model for cross-sectional data and discusses computational strategies for likelihood estimations of mixed effects models. The author briefly describes generalized estimating equations methods and Bayesian mixed effects models and explains how to implement standard models using R and S-Plus. The real-world data examples used throughout encompass studies on mental distress, AIDS, and more.
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