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On the basis of cycling behaviour attitudinal-variable statements, as developed from the stages of change model, the survey data were classified in six different segments: pre-contemplation, contemplation, prepared for action, action, maintenance and relapse.
Mortality data were classified in two groups: one group for all ages and another group of >65 years.
Data were classified in three categories: patients' personal demographics, patients' medical condition and history, and type of physiotherapy administered.
The resulting data were classified in reference to the index developed by Anders Retzius [ 11, 12]: dolichocephalic (index ≤ 75.9%), mesocephalic (between 76% - 81%), and brachycephalic (≥81.1%).
Similar(56)
To trace potential influences of canopy position, the data was classified in three different classes to dbh (10 20 cm, 20 30 cm, >30 cm).
According to the MDS configuration, the received health data is classified in the database.
Linkage patterns in the data are classified in terms of pairings of nodes and appropriate kernels quantify a similarity between pairs.
Similarly, a few isolated mountainous permafrost occurrences outside the GIC data were classified low in ice content if adjacent GIC values did not suggest otherwise.
Atlas2 expression data are classified into 79 distinct tissue types in human and 61 tissues types in mouse, and duplicate intensity values for each tissue type are included in the raw data.
The accident severity in our data is classified into KSI (killed or severely injured) and SI (Slightly injured) class values.
In the analysis, data is classified into different categories according to their similarities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com