Comment on "Wang et al. (2005), Robust estimating functions and bias correction for longitudinal data analysis"
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Updated: Jul 1, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
Nicola Lunardon1, Giovanna Menardi2
1Department of Economics, Quantitative Methods and Business Strategy, University of Milano-Bicocca, Italy.
Abstract:
This note provides a discussion on the manuscript by Wang et al. (2005) who aim to robustify inference for longitudinal data analysis by replacing the ordinary generalized estimating function with an influence-bounded, possibly biased, version. To adjust for the bias of the ensuing robust estimator, the authors provide its analytic approximation by means of asymptotic expansions, and estimate it by plugging-in a nonrobust estimate of the parameter of interest. In this letter, we argue that the proposed bias-corrected estimator is, in fact, nonrobust.
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