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Asymptotic Results with Generalized Estimating Equations for Longitudinal data II

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Author Info
R. M. Balan () (Department of Mathematics, University of Ottawa, LRSP)
Ioana Schiopu-Kratina () (Statistics Canada)
Abstract

We consider the marginal models of Liang and Zeger (1986) 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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File URL: http://www.repad.org/ca/on/lrsp/TRS398.pdf
File Format: application/pdf
File Function: First version, 2004
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Publisher Info
Paper provided by Département des sciences administratives, UQO in its series RePAd Working Paper Series with number lrsp-TRS398.

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Length: 20 pages
Date of creation: 09 Mar 2004
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Handle: RePEc:pqs:wpaper:0222005

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Related research
Keywords: Generalized estimating equations Generalized linear model Consistency Asymptotic normality

Find related papers by JEL classification:
C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - General
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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