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Even for exploratory cluster analyses, the genes that are significantly regulated must be selected beforehand.
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For exploratory clustering analysis the variance stabilizing normalization was used and PCA was performed using the function plotPCA.
Of the 655 patients who met the inclusion criteria for the exploratory cluster analysis, 74 patients had missing data for one or more of the cluster analysis variables, yielding a final sample size of 581 patients for analysis.
Data for the exploratory cluster analysis were derived from survey responses of a sample of patients randomly selected from an existing FM registry that has been described previously [ 14].
Visual inspection of the individual curves and of the aggregated curve for all respondents was the starting point of the exploratory cluster analysis.
As with the exploratory cluster analysis, the dendrogram of the hierarchical clustering solution for the validation sample suggested four clusters.
Exploratory cluster randomised controlled trial of the Healthy Lifestyles Programme.
These statistics were employed to compare exploratory cluster solutions using four to eight cluster groups on the unweighted data, since survey procedures were not available for cluster analysis in SAS V.9.2.
Similarly to the exploratory cluster analysis, each of the clustering variables differed significantly among the four clusters (Table 5).
Similarly to the exploratory cluster sample, only female participants who met FM Research Survey Criteria were included.
The Walk to Work study was a feasibility study incorporating an exploratory cluster randomised controlled trial.
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