Comparison of Two Covariance Structures in the Analysis of Clustered Polytomous Data using Generalized Estimating Equations

Arguably, the use of model-based matrices as working covariance matrices in the analysis of clustered polytomous data by generalized estimating equations has the potential for greater efficiency. However, a failure to ensure that the estimated parameter values for the model-based matrices do indeed...

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Veröffentlicht in:	Biometrics 1998-03, Vol.54 (1), p.312-316
1. Verfasser:	Hines, R. J. O'Hara
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical estimating Biometrics Convergent boundaries Correlations Covariance Covariance matrices Datasets Estimation methods Estimators Shorter Communications Statistical discrepancies
Online-Zugang:	Volltext
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