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Diamonds represent the pooled summary estimate of random effects Mantel-Haenszel meta-analysis for each outcome.
GEE analysis can be understood as a combination of random effects models and generalized linear models.
For models with more than one fitted parameter, all possible combinations of random effects were tested.
To verify the assumption of random effects, we conduct Cochran's Q-test.
To reduce the amount of random effects, no small-scale fading is applied here.
The test for the presence or absence of random effects is also problematic.
Prediction of random effects is an important problem with expanding applications.
Moreover, its numerical evaluation might create difficulties especially when the dimension of random effects is high.
The use of random effects is discussed to characterize inter-subject variation.
We derived thresholds for healthy passengers by means of random effects linear and logistic regression analysis.
The incorporation of random effects offers a gain towards the classic FAP beyond the pure measure of interference.
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