MPG.eBooks - Table of Contents: Linear Mixed Models for Longitudinal Data

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Linear Mixed Models for Longitudinal Data

Bibliographic Details
Main Authors:	Verbeke, Geert, Molenberghs, Geert (Author)
Format:	eBook
Language:	English
Published:	New York, NY Springer New York 2000, 2000
Edition:	1st ed. 2000
Series:	Springer Series in Statistics
Subjects:	Statistical Theory And Methods Statistics Probability Theory Mathematical Modeling And Industrial Mathematics Probabilities Mathematical Models
Online Access:	https://doi.org/10.1007/b98969?nosfx=y
Collection:	Springer Book Archives -2004 - Collection details see MPG.ReNa

Table of Contents:

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