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In addition, the GEE model with AR(1) correlation structures was well verified by the data.
However, for larger correlations, the ML estimator is more efficient than the GEE estimator.
We included the same factors used in the GEE models in Experiment 1.
The results of the GEE analyses are shown in Table 2.
Multivariate analyses were conducted using the GEE regression approach.
For missing data, the GEE models assume missing completely at random (MCAR).
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