Asymptotics for generalized estimating equations with large cluster sizes

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Asymptotic results with generalized estimating equations for longitudinal data (2005, methodology): “We work within a nonparametric set-up similar to that of Liang and Zeger and build upon the impressive work of Xie and Yang (2003).”
GEE analysis of clustered binary data with diverging number of covariates (2011, methodology): “A more complete and systematic large-sample theory for GEE, including consistency and asymptotic normality, was elegantly established by Xie and Yang (2003).”
Heat Effects on Mortality in 15 European Cities (2008, methodology): “Since the number of clusters is mostly lower than the number of observations within clusters, specifying the appropriate autocorrelation structure is a relevant point to assure consistency of the standard error estimates.(18) We established the correct specification of the error structure taking adv”
Semiparametric Mean–Covariance Regression Analysis for Longitudinal Data (2009, background): “When m or max{ni} or both go to infinity, the asymptotic results in Xie and Yang (2003) may be extended to our setup as the model in (4) can be seen as a semiparametric generalization of the GEE.”