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The data split into two cohorts; the first six patients did not receive enema, and the last five were planned to receive MICROLAX® micro-enema before the 4 h PET-CT scan.
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The data are split into two sets: a training data set and a validating data set.
The data were split into two groups - approximately 60% of the data were used as an estimation dataset for building models, and 40% were used as a validation dataset.
The estimated curves differed only slightly when the data were split into two subsets.
The data were split into two categories: 1) remarks on the items and 2) remarks on the questionnaire in general.
The data were split into two subperiods, which coincided with the peak-green revolution period (1967-1982) and the post-green revolution period (1982-1994).
At each scale the data is split into two orthogonal components: details (d jk ) containing the high frequency information and approximations (a jk ) containing the low frequency information [34].
Furthermore, the data were split into two equal-sized training and test subsets by the Kennard-Stone design and the errors of calibration (RMSEC) and prediction (RMSEP) were calculated.
The data is split into two groups (split-half resampling [24]) and each group sent independently through the pipeline to produce an SPM.
The data were split into two repeated measurement values (week set) of 3 days each.
In these models the data was split into two time periods: post-operative months 1 – 12 and 13 – 60.
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