Longitudinal Data Analysis Autoregressive Linear Mixed Effects Models
This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2018, 2018
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| Edition: | 1st ed. 2018 |
| Series: | JSS Research Series in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Chapter 1. Linear mixed effects model
- Chapter 2. Autoregressive linear mixed effects model
- Chapter 3. Bivariate longitudinal data
- Chapter 4. State-space representation
- Chapter 5. Missing data, time dependent covariate
- Chapter 6. Pretest-Posttest data