Regression modelling of correlated data in ecology: subject‐specific and population averaged response patterns

By J. Fieberg, R. Rieger, M. C. Zicus, J. Schildcrout. 2009

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Analyzing Cross-Sectionally Clustered Data Using Generalized Estimating Equations (2021, methodology): “Inferential statistical tests however do not differ much when using a PA or CS approach (Agresti, 2007), and several articles have discussed the differences between the PA and CS approaches (Fieberg et al., 2009; Hubbard et al., 2010; Subramanian & O’Malley, 2010).”
Correlation and studies of habitat selection: problem, red herring or opportunity? (2010, methodology): “Thus, it is commonly recommended that the choice of method (GEE or mixed-effect model) should be predicated upon the desired parameter interpretation (i.e. if one wants to characterize subject-specific or population-averaged response patterns; Davidian & Giltinan 1995; Heagerty 1999; Fieberg et al. ”
Accounting for individual-specific variation in habitat-selection studies: Efficient estimation of mixed-effects models using Bayesian or frequentist computation (2018, background): “GEEs, however, provide marginal parameter estimates that tend to underestimate the true effect sizes experienced by individual animals (Lee and Nelder, 2004; Fieberg et al., 2009; Muff et al., 2016); thus, we do not generally recommend them for habitat-selection studies.”