Mixed Effects Models for Complex Data

von Lang Wu

440 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Mathematik und Naturwissenschaften Mathematik Wahrscheinlichkeitsrechnung und Statistik
• ISBN: 9780367384913
• Sprache: Englisch
• Erscheinungsdatum: 05.09.2019
• Größe: 229 x 152 mm
• Verlag: Chapman and Hall/CRC