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Use of information criteria for selecting a correlation structure for longitudinal cluster randomised trials.

Ehsan Rezaei-DarziJessica KaszaAndrew B ForbesRhys A Bowden
Published in: Clinical trials (London, England) (2022)
With increasing amounts of data, be they number of clusters, periods or subjects per cluster period, both the Akaike and Bayesian information criteria are increasingly likely to select the correct correlation structure. We recommend that if there are sufficient data available when planning a trial, that the Akaike or Bayesian information criterion is used to guide the choice of within-cluster correlation structure in the absence of other compelling justifications for a specific correlation structure. We also suggest that researchers conduct supplementary analyses under alternate correlation structures to gauge sensitivity to the initial choice.
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