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The net sample size was fixed at 1,047 patients.
A net sample size of 100 participants per age and sex was intended.
After replacement of missing values all but 2133 cases (4.1%) had complete data on all variables included in the analyses, resulting in a net sample size of 49,425.
For each eligible study, we extracted the following data by means of a structured data extraction form: first author, year of publication, study design, sampling method, urban/rural residence, net sample size (number of included men and women separately), age range, prevalence of pre-diabetes and diabetes, diagnostic method, diagnostic criteria, and reagent used.
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The last sample size with at least 1 significant result was considered the minimum sample size.
Thus, the final sample size was 217.
Within each pond, we sampled tadpoles from five randomly selected sites throughout the pond using a hand-held dip net (median sample size = 130 tadpoles).
Although this could reflect lack of prioritization, it is more likely due to a long-standing targeted distribution program through ANC services, a recent universal coverage campaign, high net use, and a small sample size of pregnant women.
Although the small sample size precludes drawing definitive conclusions about the efficacy of the NET or NET-R, the results are encouraging.
We might not detect an impact of bed net use on disease burden because of our relatively small sample size.
Elastic-net regularization is particularly useful when the number of highly correlated predictor variables is much larger than the sample size.
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