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In future, this type of approach could offer researchers a valuable resource to infer new data from patient data for statistical analysis in translational research.
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As no technical reason could be identified for the occurrence of these outliers, all data were retained for statistical analysis in order to provide a conservative estimate of inhomogeneity for the materials.
This allows data storage and opens up possibility for statistical analysis in the future.
Data were entered into a spreadsheet for statistical analysis in Microsoft Excel for Windows.
As only three-digit codes were systematically controlled and used for statistical analysis in this large data set, we were confined to a relatively general analytical approach, leaving no room for more detailed analysis of specific diseases.
Liang et al. [3] had used multi-satellite images and GIS data for statistical analysis of landslide in Taiwan Island.
Samples, which were labelled with a unique identifier so that they could be linked with patients ID and their clinical data for statistical analysis, were analyzed in random order.
Unlike this analysis at the single-electrode level, in which we retrieved multiple data for statistical analysis from one subject, in the multiple electrode analysis, we calculated a single functional connectivity index for each subject to represent overall brain connectivity in each electrode pair in each frequency band.
Sports analysis is an important research field, supporting a growing interest in data for statistical analysis of performance [1].
Fifteen genes did not have enough expression data for statistical analysis or were not significantly differential expressed in either dsx null comparison and were therefore not considered for further analysis.
Further considerations supporting this decision were the anticipation of data loss over the four data collection points and an interest in generating sufficient data for statistical analysis.
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