Abstract
In this chapter, the class of generalized linear models (GLM) will be introduced as required for understanding the idea of generalized estimating equations (GEE). Univariate GLMs are considered first, followed by multi- variate GLMs. For an in-depth discussion of GLM, the reader may refer to the literature (Fahrmeir and Tutz, 2001; Hardin and Hilbe, 2007; McCullagh and Nelder, 1989).
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© 2011 Springer Science+Business Media, LLC
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Ziegler, A. (2011). Generalized linear models. In: Generalized Estimating Equations. Lecture Notes in Statistics(), vol 204. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0499-6_3
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DOI: https://doi.org/10.1007/978-1-4614-0499-6_3
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-0498-9
Online ISBN: 978-1-4614-0499-6
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