2014
DOI: 10.1002/bimj.201300098
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Criterion for the simultaneous selection of a working correlation structure and either generalized estimating equations or the quadratic inference function approach

Abstract: Generalized estimating equations (GEE) are commonly used for the marginal analysis of correlated data, although the quadratic inference function (QIF) approach is an alternative that is increasing in popularity. This method optimally combines distinct sets of unbiased estimating equations that are based upon a working correlation structure, therefore asymptotically increasing or maintaining estimation efficiency relative to GEE. However, in finite samples, additional estimation variability arises when combinin… Show more

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Cited by 20 publications
(17 citation statements)
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“…Theoretically, the QIF approach is equally or more efficient than GEE. However, finite-sample covariance inflation of the regression parameter estimates must be taken into account, as is done in Westgate [19, 20]. Westgate [20] proposed a method that utilizes the TECM to select both a working correlation structure and one of these two methods, analogous to the approach we used in this manuscript.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Theoretically, the QIF approach is equally or more efficient than GEE. However, finite-sample covariance inflation of the regression parameter estimates must be taken into account, as is done in Westgate [19, 20]. Westgate [20] proposed a method that utilizes the TECM to select both a working correlation structure and one of these two methods, analogous to the approach we used in this manuscript.…”
Section: Discussionmentioning
confidence: 99%
“…However, finite-sample covariance inflation of the regression parameter estimates must be taken into account, as is done in Westgate [19, 20]. Westgate [20] proposed a method that utilizes the TECM to select both a working correlation structure and one of these two methods, analogous to the approach we used in this manuscript. Therefore, our study results imply that the covariance inflation correction can also be used with GEE incorporating structured working correlation matrices in the context of Westgate [20].…”
Section: Discussionmentioning
confidence: 99%
“…GEE approach is often used in longitudinal data analysis, while this method behaves robustly against misspecification of the working correlation structure. 43,44 The GEE method was used to account for the repeated longitudinal nature of patients on both primary outcomes because some patients had more than two visits within the study period. We began with unadjusted analysis of associations between odds of admission, with each of the patient demographic and clinical characteristics listed above and then repeated this analysis for the second outcome of unplanned ED revisit within 72 hours.…”
Section: Methodsmentioning
confidence: 99%
“…62 More recent work by Westgate 63,64 provides improvements by using a bias-corrected sandwich covariance estimate and by simultaneously selecting the QIF or GEE while selecting the best working correlation structure. 65 Despite the many attractive properties of QIF, at this time there are few applications in public health. 6668 …”
Section: Developments In the Analysis Of Parallel Group-randomized Trmentioning
confidence: 99%