English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The generalized estimating equations (GEE) procedure is a common approach for regression analyses of correlated responses, which is common for data obtained in longitudinal studies. Selecting a working correlation structure has been a momentous topic in longitudinal data analysis using GEE. Although consistent and asymptotically normal estimates can be obtained with misspecified working correlation structure, an appropriate selection of the correlation structure improves the efficiency of the regression estimators. Numerous criteria have been proposed to select the best working correlation structure in GEE. Besides single criterion, some authors suggested different approaches of using multiple criteria. In this paper, a comparison of available criteria is done along with different combinations of selected multiple criteria. We investigated their performance using both simulated and real data. Simulation results indicate that data analysts should be cautious in selecting multiple criteria to be combined. Practical recommendations are also given for choosing a working correlation structure in GEE.

A caution in the use of multiple criteria for selecting working correlation structure in generalized estimating equations