Hospitalizations were categorized using the Clinical Classifications Software system from the Agency for Healthcare Research and Quality (www.hcup-us.ahrq.gov/toolssoftware/ccs/ccsfactsheet.jsp).jsp
The WFC and text interpretation were categorized using a priori coding [68].
The responses were categorized using a cyclic model development perspective moving from primitive to more sophisticated responses.
The foci of the recommendations were categorized using a systems-oriented approach to accident prevention, an adapted Haddon matrix.
Although the global terrain was classified into groups that were categorized using Japanese thematic data, distinct topographies of various locations were also well depicted.
ED visits were categorized using the Billings and Raven analytic categories (i.e., 1, 2, 3 4, 5 6, 7 9, 10 14, and 15 or more visits) [7].
Functional properties of the differentially expressed or methylated genes were categorized using the BiNGO Cytoscape plugin as described previously (Maere et al., 2005).
All complications were categorized using the CD classification and were collapsed according to distribution frequencies, i.e., Grade I II and Grade III V.
First, the risk factors were categorized, using cut offs based on scatter plots.
Then the genes were categorized using Gene Ontology annotations program (http://apps1.niaid.nih.gov/David/gochart).nih.gov/David/gochart
AS variants were categorized using the binary approach described by Nagasaki et al. [42].
