Linear Mixed Models for Longitudinal Data

SOMMARIO

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9781475773842
• Collana: Springer Series in Statistics
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XXII, 568 p.
• Pagine Arabe: 568
• Pagine Romane: xxii