Linear Mixed Models for Longitudinal Data
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York,
2000.
|
| Series: | Springer Series in Statistics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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.
