Overview of Linear Mixed Models for Longitudinal Data

  • Brajendra C. SutradharEmail author
Part of the Springer Series in Statistics book series (SSS)


Recall from the last chapter [eqn. (2.48)] that there exists [Verbeke and Molenberghs (2000, Chapter 3, eqn. (3.11)); Diggle, Liang, and Zeger (1994)] a random effects based longitudinal mixed model given by
$$ y_{it} = x^{\prime}_{it}\beta + z_{i}\gamma_{i} + \varepsilon_{it}, $$
where the ε it are independent errors for all t =1, …, T i for the ith (i=1, …, K) individual.


Linear Mixed Model Instrumental Variable Generalize Little Square Dynamic Panel Data Random Effect Variance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsMemorial UniversitySaint John’sCanada

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