The phrase "analysis proportion" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to a specific aspect of analysis related to proportions, but as it stands, it lacks clarity and context.
Example: "The analysis proportion of the data set was crucial for understanding the overall trends."
Alternatives: "proportional analysis" or "analysis of proportions".
Randomised controlled trials were assessed on the following criteria based on the NICE guidelines manual[14]: Method of randomisation, allocation concealment, blinding of participants and outcome assessors, intention-to-treat analysis, proportion of participants excluded/lost to follow-up, power calculation, comparability of groups at baseline.
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.
Two component solutions were examined: (1) component extraction based on a parallel analysis, proportion of variance explained, Kaiser's eigenvalue-greater-than-one rule and on the examination of Cattell's scree plot and (2) a three-component solution as originally conceptualised in the VAWI.
Since reversibility data was not consistently reported at the study level, the following covariates were included in the AD analysis: proportion of current smokers, proportion of patients with severe or very severe COPD (as opposed to mild or moderate COPD) based on the GOLD guidelines; average age, and proportion of males.
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 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 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.
