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The results were analyzed with descriptive statistics (mean, proportion, and confidence intervals with 5% error).
Measures of central tendency such as frequency, mean, proportion and standard deviation were used for both datasets (audits and household survey).
The mean proportion (and 95% confidence intervals) of ILI cases seeking medical attention, stratified by date, age, gender and risk group, were calculated by bootstrapping.
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Mean proportions and their 95% confidence intervals were calculated for each outcome of interest.
Main outcome measures Individual study data and, when possible, pooled daily mean proportions and 95% confidence intervals for symptom duration.
When possible, we attempted to pool results by calculating mean proportions and 95% confidence intervals, but this does not take account of the lack of homogeneity between studies.
Descriptive statistical information (e.g. means, proportion, and variability) was examined for all variables.
NHATS weighted data was used for reporting means, proportions, and measures of association.
This article deals with the basic principles involved in sample size calculations and shows the concepts and factors that determine sample sizes for comparing means, proportions, and time-to-event measures.
For descriptive statistics, we used means, proportions and standard deviations.
All means, proportions and ORs that are presented are weighted.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com