Téléchargez le livre : Longitudinal Data Analysis

Longitudinal Data Analysis

Autoregressive Linear Mixed Effects Models de

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Éditeur :

Springer


Collection :

SpringerBriefs in Statistics

Paru le : 2019-02-04

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Description
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 model is changed into a dynamic one by the introduction of the auto-regression term. Response levels in this model gradually move toward an asymptote or equilibrium which depends on covariates and random effects. The book provides relationships of the autoregressive linear mixed effects models with linear mixed effects models, marginal models, transition models, nonlinear mixed effects models, growth curves, differential equations, and state space representation. State space representation with a modified Kalman filter provides log likelihoods for maximum likelihood estimation, and this representation is suitable for unequally spaced longitudinal data. The extension to multivariate longitudinal data analysis is also provided. Topics in medical fields, such as response-dependent dose modifications, response-dependent dropouts, and randomized controlled trials are discussed. The text is written in plain terms understandable for researchers in other disciplines such as econometrics, sociology, and ecology for the progress of interdisciplinary research.
Pages
141 pages
Collection
SpringerBriefs in Statistics
Parution
2019-02-04
Marque
Springer
EAN papier
9789811000768
EAN PDF
9789811000775
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
3533 Ko
Prix
63,29 €
EAN EPUB
9789811000775
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
12175 Ko
Prix
63,29 €

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