AS variants were categorized using the binary approach described by Nagasaki et al. [42].
Attitudes were categorized using open coding as well.
Cox proportional models were used to estimate the risk of death associated with BMI as a continuous variable or categorized using established criteria (normal weight, 18.5-24.9 kg/m(2); overweight, 25.0-29.9 kg/m(2); obese, ≥ 30.0 kg/m(2)).Median follow-up was 40 months, and 1,069 (85%) deaths were observed during this period.
Region of birth (ROB) was categorized using COB, as defined by the World Health Organization [ 20].
The expression of EGFRvIII was categorized using NS as absent (<fivefold above mean negative control counts, see " Methods") or present as a fraction of overall EGFR: <1 % (black), 1 10 % (orange) or ≥10%% (red).
There were positive associations of blood lead level with total cholesterol and HDL levels, and these associations were more evident when modeled as continuous outcomes than when categorized using clinically relevant cut points.
Secondly variables were categorized, using medians as the breakpoint, into smaller (range 96 185 sows) and larger herds (190 1200 sows), and farms where farmers had <23 (range 5 22) versus ≥23 (23 41) years of experience, and differences in overall scores and subcategory scores were compared between the groups.
In addition to the presence or absence of anemia, patient demographics (e.g., age, gender, race/ethnicity) and the distribution of other patient co-morbidities as categorized by organ system using ICD-9 coding wee also assessed.
Numerical variables were included as continuous variables after verifying their normality, otherwise they were used as categorized variables.
The main cannabis measure that we employed was reported level of cannabis use as categorized in the response options in the questionnaire: Never, Once, 2 4, 5 10, 11 50, >50.
This was used as categorized variable, continuous variable and dichotomized (small area of 100,000 or less inhabitants, or large area of more than 100,000).
