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Socio-demographics, health-related factors, and built environment attributes were compared between participants living inside and outside clusters.
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Categorical population attributes were compared using Fisher's exact test.
The selected attributes were compared and discussed.
The estimated relative attribute weights were compared between groups within methods, and between methods within groups, with Kendall's Tau-b correlation coefficient.
Proportions reattending, and subsequent risk and pathological attributes of cancer were compared between women who underwent further (negative) assessment following false-positive mammography and women mammographically normal at first screen.
This discrepancy between registry data and death certificates led to different conclusions when proportions of death attributed to CVD were compared between the dialysis population and the GP.
These proportions were compared between different attributes of the dataset, for example YST vs germinoma, males vs females, etc.
RRS rates were compared between the groups.
Baseline variables were compared between groups.
To identify marker attributes important for successful population assignment, the distribution of both allelic richness and private allele richness was compared between marker panels (Figure S2).
The relationship between clinician rated asthma severity and mean ASUI scores, based on the combined (total sample) multi-attribute utility function, were compared using ANOVA.
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CEO of Professional Science Editing for Scientists @ prosciediting.com