Statements were then categorised using topic codes.
Each parameter was then categorised using the decision tree shown in Figure 1.
All scores for each group were totalled and then categorised using the median of the total score.
Artists are then categorised by genre, and genres subdivided.
All included studies were entered into a spreadsheet and then categorised using variables that included details of the research design, screening tools/method used, primary population studied, specific health condition and broad aim.
These genes were then categorised into KEGG pathways using GENECODIS analysis and 83 pathways were identified as significantly enriched pathways (Supplementary Table 3).
Each pixel in the image dataset was then categorised into the land use class it most closely resembles.
The patients' sex, histological tumour type, T-stage, N-stage, tumour grade and CRM involvement were then categorised and a univariate analysis was performed using a χ-test to establish any relation between these factors and 5-year survival.
Round 1 identified several methods used at present to record and use patient experience data, which were then categorised and voted upon in round 2 (figure 1).
These genes were then categorised into KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways using GENECODIS analysis (Tabas-Madrid et al, 2012) (http://genecodis.cnb.csic.es/).
