A blind observer manually measured time spent in each categorized behavior.
We extracted all UniGene IDs with at least one entry in each categorized EST library, and further linked them to the ENSEMBL gene IDs.
SVR rates were not different between two groups in each categorized baseline characteristics: age (years) (≤50 and >50), HCV viral load (IU/mL) (≤7×10 and >7×10), and hepatic fibrosis (F0-2 and F3-4) (all P-values >0.05).
Model (1 and 2) had low information compared to model (4) because of the truncation (i.e parasite below and/or above τ were each categorized in one group), and hence the first model had lowest information.
Mann-Whitney U test was used for the comparison of T/N ratio between recurrence and radiation necrosis in each group categorized by MTV criteria.
An investigation into the relationship between sample size and P-value for effect modification in each study, categorized according to whether the original publication reported presence of effect modification, did not identify a relationship between sample size and P-value for LRT (Pearson's r = 0.45; P-value for correlation = 0.13).
Patient demographic and baseline disease characteristics, described previously 19, were well balanced between treatment arms (Appendix Table AI [Supporting Information]), with median patient ages of 48 and 47 years, respectively, median times since diagnosis of 23 and 22 days, respectively, and 18% of patients in each arm categorized as high Sokal risk.
Adults were enrolled from February 2006 through March 2007 at 26 sites, including 21 sites in the United States and one site each in Brazil, Canada and Spain (collectively categorized as non-African region sites for this analysis) and one site each in South Africa and Uganda (categorized as African region sites).
In this case, the researchers, rather than summarizing their findings in one number, categorized each subject according to his or her level of proficiency: level one, level two, or level three.
The number of unplanned readmissions and admissions overall and in each specialty cohort, categorized by volume group, is shown in table 1.
Fifth, we thought it was too early to determine whether there is a cutoff level in SUA to increase or reduce the risk of development of type 2 diabetes because of both the limited number of studies that used SUA level as a categorical variable and provided RR data for each category and the variation in methods of how SUA levels in each subject were categorized.
