Asymptotic results with generalized estimating equations for longitudinal data
Statistics Theory
2007-06-13 v1 Statistics Theory
Abstract
We consider the marginal models of Liang and Zeger [Biometrika 73 (1986) 13-22] for the analysis of longitudinal data and we develop a theory of statistical inference for such models. We prove the existence, weak consistency and asymptotic normality of a sequence of estimators defined as roots of pseudo-likelihood equations.
Cite
@article{arxiv.math/0505600,
title = {Asymptotic results with generalized estimating equations for longitudinal data},
author = {R. M. Balan and I. Schiopu-Kratina},
journal= {arXiv preprint arXiv:math/0505600},
year = {2007}
}
Comments
Published at http://dx.doi.org/10.1214/009053604000001255 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)