Letter to the Editor
Comment on ‘Small sample GEE estimation of regression parameters for longitudinal data’
Abstract
In longitudinal studies, the generalized estimating equation (GEE) estimator of the parameters of a marginal model is known to be consistent even if the working intra‐subject covariance matrix is incorrectly specified. Recently, a small sample correction for the bias of the GEE estimator has been proposed. We show that this correction formula relies on the correct specification of the working intra‐subject covariance matrix. We provide a revised formula that is valid under misspecification and develop the R package ‘BCgee’ to ease the practical use of the formula. Copyright © 2017 John Wiley & Sons, Ltd.
Citing Literature
Number of times cited according to CrossRef: 2
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- Orazio De Lucia, Luca Massimo Pierannunzii, Francesca Pregnolato, Elisa Verduci, Chiara Crotti, Elisabetta Valcamonica, Laura Pisoni, Daniela Comi, Paola Adele Lonati, Pier Luigi Meroni, Antonella Murgo, Effectiveness and Tolerability of Repeated Courses of Viscosupplementation in Symptomatic Hip Osteoarthritis: A Retrospective Observational Cohort Study of High Molecular Weight vs. Medium Molecular Weight Hyaluronic Acid vs. No Viscosupplementation, Frontiers in Pharmacology, 10.3389/fphar.2019.01007, 10, (2019).
