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Overview of Linear Mixed Models for Longitudinal Data

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Dynamic Mixed Models for Familial Longitudinal Data

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Abstract

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

$$ y_{it} = x^{\prime}_{it}\beta + z_{i}\gamma_{i} + \varepsilon_{it}, $$
(3.1)

where the ε it are independent errors for all t =1, …, T i for the ith (i=1, …, K) individual.

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Authors and Affiliations

  1. Department of Mathematics and Statistics, Memorial University, A1C 5S7, Saint John’s, Newfoundland and Labrador, Canada

    Brajendra C. Sutradhar

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  1. Brajendra C. Sutradhar
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Correspondence to Brajendra C. Sutradhar .

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Sutradhar, B.C. (2011). Overview of Linear Mixed Models for Longitudinal Data. In: Dynamic Mixed Models for Familial Longitudinal Data. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8342-8_3

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