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Using a staffing list as the sampling frame, a proportionate random sample of health care workers was drawn by health care worker category (stratum) to participate in the survey.
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19 The matching was performed within (sex × diagnostic category) strata.
The rate of DM was presented by the K-M curves (one minus cumulative survival) between the groups of [high-ITGA3/CD9 and high-ITGB4/JUP]-positive cases and remaining negative cases according to size category strata.
The rate of LNM was represented by the Kaplan-Meier (K-M) curve (one minus cumulative survival) between groups of [high-ITGA3/CD9 and YK4]-positive cases and the remaining (negative) cases according to size category strata.
The strata were defined by the size of the Spanish municipalities, divided into 3 categories: Stratum I (municipalities up to 20,000 inhabitants), Stratum II (municipalities between 20,001 and 100,000 inhabitants) and Stratum III (municipalities with more than 100,000 inhabitants).
In the analyses we compared the prevalence of assessments in the 100% category between strata and the prevalence in the 0 49% category, respectively.
Since the number of respondents in the "poor" stratum category was small, "poor" and "fair" categories were combined into one "poor/fair" category for analysis purposes.
Based on this variation, the 19 pairs were classified into four distinct categories, or strata.
Percentages are based on insurance category by age stratum.
Percentages are based on insurance category by age stratum (unless otherwise indicated).
To quantify the associations between weather and mortality in different groups of the population, the aforementioned equation was fitted separately for each stratum category of age, gender, and cause.
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