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Finally, results from both the explorative analyses and the qualitative analysis were used in the confirmative stage to test different structures using the confirmation dataset.
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We thus identified nominally significant loci in Treg cells and then used LCLs as a confirmation dataset.
We use the following datasets.
Tables 9, 10 show the results of the confirmation experiment using the optimal operating parameters.
The final list of consistent predictors was those that remained significant in the external confirmation dataset.
Confirmation using the coronal plane might become redundant when using 3D modelling.
Confirmation using the neutral beam for the KOTO experiment is also presented.
This graph, using the PIOMAS daily ice volume dataset shows the rapid, and accelerating loss of ice.
Confirmation of the chemotherapy predictive role for uPA and PAI-1 was found by using the pooled analysis of 18 datasets, referred to above [ 82].
Finally, confirmation experiments using the optimal combination of control parameters are implemented.
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