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There is no uniformly adopted cutoff value to define "young patients" with breast cancer.
Two points arise from this situation: the corresponding infinite product should be convergent and we need its value to define a mean.
As what is investigated is the variability of different macro-parameters, the maximum or minimum of various data sequence is used as the reference value to define different variables.
Because of the need to split searchers in discrete markets, using any other typical school characteristic (% traditionally disadvantaged group for example) would require an arbitrary cut off value to define markets.
Results from the ComplOverlap methodology in these graphs are the same as in Fig. 6, as there are no versatile parameters in this methodology, except for the α value to define the threshold.
Examine the predictive validity of the activPAL™ metabolic equivalents equation, develop an activPAL™ threshold value to define moderate-to vigorous-intensity physical activities, and examine the classification accuracy of the developed moderate-to vigorous-intensity physical activities threshold value in 4- to 6-year-old children.
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We calculated the total-error values to define the analytical performance of our motion capture system for these kinematic variables.
Based on these references, it is possible to derive threshold values to define the limit of acceptable change or impact.
Main and interaction effects were analyzed by analysis of variance (ANOVA), F-test and P-values to define most important process variables affecting the dyes biosorption.
This is achieved by using a large (i.e., conservative in this context) p-value to define the potential regulatory edges.
Besides, CD4+ T cell count and HIV viral load were also analyzed as categorical variables using the median values to define groups.
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