Longitudinal Data Analysis

Name: Longitudinal Data Analysis
Brand: Springer Verlag, Singapore
SKU: 9789811000768
Price: 59.98 EUR
Availability: InStock

Autoregressive Linear Mixed Effects Models

Autor: Ikuko Funatogawa, Takashi Funatogawa

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer Verlag, Singapore

Dostupnosť: Skladom u dodávateľa

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59.98 €

This book provides a new analytical approach for dynamic data repeatedly measured from multiple subj...

Informácie o knihe

Autor

Ikuko Funatogawa, Takashi Funatogawa

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2018

Stránok

141

EAN

9789811000768

ISBN

981100076X

Enbook ID

02823380

Vydavateľ

Springer Verlag, Singapore

Hmotnosť

243

Rozmery

155 x 235 x 9

Kompletný popis

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.

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Longitudinal Data Analysis

Autoregressive Linear Mixed Effects Models

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