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pro vyhledávání: '"Philip M. Westgate"'
Autor:
Philip M. Westgate
Publikováno v:
Communications in Statistics - Simulation and Computation. 49:305-316
Generalized estimating equations (GEE) incorporate a working correlation structure that is important because the more accurately this structure reflects the true structure, the more efficiently reg...
Autor:
Brady T. West, Philip M. Westgate
Publikováno v:
J Surv Stat Methodol
Weighted generalized estimating equations (GEEs) are popular for the marginal analysis of longitudinal survey data. This popularity is due to the ability of these estimating equations to provide consistent regression parameter estimates and correspon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb8eba22534e3fed987f07f3b441dc3a
https://europepmc.org/articles/PMC10072866/
https://europepmc.org/articles/PMC10072866/
Autor:
Philip M. Westgate
Publikováno v:
Journal of statistical computation and simulation. 86(10)
When generalized estimating equations (GEE) incorporate an unstructured working correlation matrix, the variances of regression parameter estimates can inflate due to the estimation of the correlation parameters. In previous work, an approximation fo
Autor:
Philip M. Westgate
Publikováno v:
Statistics & Probability Letters. 83:1553-1558
Notable bias can exist in the empirical covariance matrix of parameter estimates obtained from the quadratic inference function method that incorporates an unstructured working correlation. We therefore derive a bias correction. Via simulation, we sh