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We take the clusters produced by the clustering step of EMAN (c1, c2,…, c m ) as initial clusters.
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Take the cluster ( C_{1}) as an example.
Because subject observations cannot be assumed to be independent, information pertaining to the degree of clustering must be reported, and analyses must take the clustering into account.
Due to the possible differences between individual and group effects in magnitudes or even direction, we need to take the clustered data structure into account when phrasing research questions, analyzing the data, and interpreting the results.
The trials which I regarded as failing to take the clustering into account were as follows.
Therefore, it might not be necessary to take the clustering effects into account and thus the estimates are similar across statistical models.
Multilevel analyses will be performed, to take the clustering effect into account, since the success of treatment can be dependent on the skills of the provider as well as specific characteristics of a treatment centre.
The analysis and sample size estimation for such designs must take the clustering into account or the resultant significance tests (P values) and confidence intervals will be in error [ 1].
All analyses were performed by the intention-to-treat principle and took the cluster design into account using individual-level regression modeling (generalized estimating equations).
The mixed model with random effect takes the clustering of the observations into account.
In the data analysis by multilevel modelling we took the cluster randomisation into account.
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