The data were categorized for proximal, middle and distal third tibial fractures for analysis.
Data were categorized for the material investigated.
Data was categorized for each genotype across the three main GO categories of biological process, cellular component and molecular function.
Demographic and clinical data were categorized for survivors and nonsurvivors and the results were displayed as frequency, median values and interquartile range.
30 Data were entered into a spreadsheet by using Microsoft (Redmond, WA) Excel 2004 for Mac (version 11.5.6) and were analyzed by using Stata version 11.0 (StatCorp, College Station, TX) and R version 2.8.1 (http://cran.r-project.org/bin/windows/base/). Age data were categorized for children (< 2, 2 4, > 4 years of age) and mothers (< 25, 25 35, and > 35 years of age).
Patient outcome data is categorized in Table 2.
All of that excess data is categorized as incidental or inadvertent interceptions.
Continuous data were categorized into categorical variables using SPSS for Windows release 19.0.
When different assays were run on the same resin or class of closely related resins (e.g., three Tritan resins), the data were categorized as "yes" versus "no" for EA if the %RME2 for each individual assay was equal to, or greater than, 15%RME2 versus less than 15%respectivelytively.
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 + .
