Longitudinal Data Analysis Autoregressive Linear Mixed Effects Models /

• Main Authors: Funatogawa, Ikuko (Author, http://id.loc.gov/vocabulary/relators/aut), Funatogawa, Takashi (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: JSS Research Series in Statistics,
• Subjects: Statistics .; Statistical Theory and Methods.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Statistics and Computing/Statistics Programs.

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...

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.