Linear Mixed Models for Longitudinal Data

Geert Verbeke, Geert Molenberghs (Autoren)

Buch | Hardcover

568 Seiten

2000 | 1st ed. 1997. 2nd printing 2000
Springer-Verlag New York Inc.
978-0-387-95027-3 (ISBN)

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Provides a comprehensive treatment of linear mixed models for continuous longitudinal data. This book emphasises on exploratory data analysis for various aspects of the model, such as the marginal model, subject-specific profiles, and residual covariance structure.

Examples.- A Model for Longitudinal Data.- Exploratory Data Analysis.- Estimation of the Marginal Model.- Inference for the Marginal Model.- Inference for the Random Effects.- Fitting Linear Mixed Models with SAS.- General Guidelines for Model Building.- Exploring Serial Correlation.- Local Influence for the Linear Mixed Model.- The Heterogeneity Model.- Conditional Linear Mixed Models.- Exploring Incomplete Data.- Joint Modeling of Measurements and Missingness.- Simple Missing Data Methods.- Selection Models.- Pattern-Mixture Models.- Sensitivity Analysis for Selection Models.- Sensitivity Analysis for Pattern-Mixture Models.- How Ignorable Is Missing At Random ?.- The Expectation-Maximization Algorithm.- Design Considerations.- Case Studies.

Reihe/Serie	Springer Series in Statistics
Zusatzinfo	XXII, 568 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
ISBN-10	0-387-95027-3 / 0387950273
ISBN-13	978-0-387-95027-3 / 9780387950273
Zustand	Neuware