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Improved generalized estimating equation analysis via xtqls for quasi–least squares in Stata AgEcon
Shults, Justine; Ratcliffe, Sarah J.; Leonard, Mary.
Quasi–least squares (QLS) is an alternative method for estimating the correlation parameters within the framework of the generalized estimating equation (GEE) approach for analyzing correlated cross-sectional and longitudinal data. This article summarizes the development of QLS that occurred in several reports and describes its use with the user-written program xtqls in Stata. Also, it demonstrates the following advantages of QLS: (1) QLS allows some correlation structures that have not yet been implemented in the framework of GEE, (2) QLS can be applied as an alternative to GEE if the GEE estimate is infeasible, and (3) QLS uses the same estimating equation for estimation of Β as GEE; as a result, QLS can involve programs already available for GEE. In...
Tipo: Article Palavras-chave: Xtqls; Correlated data; Clustered data; Longitudinal data; Generalized estimating equations; Quasi–least squares; Research Methods/ Statistical Methods.
Ano: 2007 URL: http://purl.umn.edu/119265
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