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Generalised Estimation Equations

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Mixed effects models and extensions in ecology with R

Part of the book series: Statistics for Biology and Health ((SBH))

Abstract

In this chapter, we analyse three data sets; California birds, owls, and deer. In the first data set, the response variable is the number of birds measured repeatedly over time at two-weekly intervals at the same locations. In the owl data set (Chapter 5), the response variable is the number of calls made by all offspring in the absence of the parent. We have multiple observations from the same nest, and 27 nests were sampled. In the deer data, the response variable is the presence or absence of parasites in a deer; the data are from multiple farms.

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Notes

  1. 1.

    The motivation for this is purely pedagogical; we want to present three GEE examples, one of which is a binomial GEE.

  2. 2.

    Consistent means that estimated parameters are nearly equal to the population parameters.

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Correspondence to Alain F. Zuur .

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© 2009 Springer Science+Business Media, LLC

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Zuur, A.F., Ieno, E.N., Walker, N.J., Saveliev, A.A., Smith, G.M. (2009). Generalised Estimation Equations. In: Mixed effects models and extensions in ecology with R. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-87458-6_12

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