Journal
ANNALS OF STATISTICS
Volume 33, Issue 2, Pages 522-541Publisher
INST MATHEMATICAL STATISTICS
DOI: 10.1214/009053604000001255
Keywords
generalized estimating equations; generalized linear model; consistency; asymptotic normality
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We consider the marginal models of Liang and Zeger [Bioinetrika 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.
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