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The data are categorized based on PUMC type and occurrence of spinal curvature on the convex side of the subjects.
For the purpose of matching, the data are categorized by the type of sibling pairs and the number of offspring.
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The data were categorized for proximal, middle and distal third tibial fractures for analysis.
To establish a correlation between damage and AE activity, the data was categorized on the basis of amplitude and cumulative signal strength (CSS).
The data were categorized based on the orientation of each patient's room and the positions of the heads of their beds in relation to window views.
This figure presents how the data is categorized for WFD when a fixed number of task sets is used as input.
The variable has a one-to-one relationship with the finite space state coded by : one specific value of represents a specific combination of the values of the original predictors, that is, a "bin" into which the data is categorized.
In-depth evaluation was done by means of a qualitative content analysis [44], therefore the data was categorized by three content-related main categories, derived from the interview guide.
The data was categorized into three age groups: 31 49, 50 60, 61 79.
In the GoM analysis, the data was categorized into six sets representing risk for GBC with respect to the investigated polymorphisms.
Once the data were categorized, the individual responses and the associated categorized data were exported for subsequent data analysis.
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