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We tabulated disease severity according to STs.
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We tabulated the specific diseases responsible for OCM to understand the non-BC deaths in our cohort (Table 3).
The predicted status was then cross tabulated with the known disease category.
Finally, percentages of positive CT scans not representing metastatic disease were tabulated as the false positive rate.
Death by those diseases was tabulated on the assumption that if radiation exposure had a life-shortening effect it would likely show up there, but it did not.
Patients, type of treatment and disease characteristics were tabulated by means of frequency tables.
Patients, toxic habits, type of treatment and disease characteristics were tabulated by means of frequency tables.
Furthermore, we tabulated the shared pathways among diseases and grouped them according to the database in seven main categories: Growth factor/Hormone signaling, Innate/Adaptive immunity, Cell cycle and apoptosis, Cancer, Adhesion, Host response and Other (Figure 3).
As QoL measures were often used and cover all dimensions, we first tabulate QoL measures (disease-specific and non-specific) and subsequently other outcome measures covering at least one dimension (disease-specific and non-specific).
Cases of babesiosis, Lyme disease, and HGA in this region were tabulated on the basis of statistics on reportable diseases available on the New York State Department of Health (NYSDOH) website (5).
The prevalence of abnormal CLUE results and their effect on clinical management were tabulated and stratified by coronary heart disease risk class.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com