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The processes and data were also categorized by accountability; whether they should take place or be generated at international (e.g. global or regional) or national level.
For this comparison, diet diary data were also categorized as breakfast consumption on no days (0), some days [1 (some days of measurement], or every day "2" (all days of measurement).
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The NEISS data was also categorized by disposition: Released, Hospitalized, Fatality, and Other (including transferred, left without being seen, not recorded, etc).. Age groups (in years) for NEISS data were categorized as: 2 4, 5 10, 11 13, 14 17, 18 22, 23 29, 30 39, 40 49, and 50 + .
Patient data is also categorized for reporting our NICU outcomes as part of the Vermont Oxford reporting process.
Photo titles and all comments for each data set were also categorized as follows: photo quality comment, descriptive comment, positive comment, negative comment, and fearful comment.
Data providers for datasets published on SEAMAP were also categorized as a government organization, non-government organization (i.e., non-profit research institutes, aquariums, etc)., or university.
25 UPSIT scores were also categorized using normative data for age and gender as previously reported with a dichotomous cut at the 15th percentile for age and gender corresponding to labeling as hyposmic.
Data for siRNA and shRNA subsets with optimal terminal duplex asymmetry were also categorized according to the antisense strand secondary structure stability [25].
Patients were also categorized according to 18 different case-definitions using claims and laboratory data.
Explants were also categorized by histologic signs of degradation.
Studies were also categorized into subgroups based on ethnicity.
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