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Furthermore, when all participants meeting HADS caseness criteria for anxiety (18.1 % of the total) were removed from the analysis, proportions among the remainder with interictal symptoms (including interictal anxiety) were reduced but not greatly.
In descriptive data analysis, proportions (percentages) were reported.
Bivariate analyses of variables according to year was using χ2 linear trend analysis (proportions), ANOVA (means) and Kruskall-Wallis test (medians), as appropriate.
In this analysis, proportions of GO terms [ 18] and pathway (KEGG) [ 26] annotations were compared between clusters showing small network distances (≤ 3 shortest distance) and the remaining CGPs (≥ 4) in each matrix.
In the univariate analysis proportions of NS (non susceptible) or R (resistant) strains between categorical variables were compared using the Pearson's chi-square test or the Fischer's exact test where appropriate.
In univariable analysis, proportions of patients in each treatment group were calculated by age group (three groups, 40-59, 60-74, and ≥75), gender, diagnosis period (four triennial periods, 1995-7, 1998-2000, 2001-3, and 2004-6), deprivation group (1-5), and tumour type.
Similar(53)
As in the previous analysis, proportion of urban population and the literacy rate among women above age 15 in a district were significantly related to MMR decline, while the proportion of women receiving ANC was not.
Exploratory analyses included a responder analysis (proportion of patients with an increase in Hb ≥2 g/dl after 8 weeks), the effect of regional differences and total iron dose level, and other potential predictors of the treatment response.
For the descriptive analysis, proportion Z-tests with Bonferroni adjusted P values were performed in order to determine any possible differences among the three groups of doctors' employment considered.
For the purposes of this analysis the proportions of on demand and mixed feeding were combined and compared with proportion of infants who were fed to schedule.
In stage one of the analysis, age, proportion white and proportion males and distance from ED were significant demographic variables to predict an emergency admission (Table 3).
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