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Note that the number of nucleotide sites with less than 5% of missing data vary both among different loci as well as for a given locus depending on the number of populations considered in each analysis (e.g. population comparisons at the worldwide scale or on subsets of populations defined on a geographic criterion; analyses at the intra-population level).
We will describe the sample by calculating the proportions of responses and non-responses for each variable and for the questionnaire overall and then we will investigate whether patterns of missing data vary according to key sociodemographic characteristics.
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The extent of missing data varied from 0%to29%9%, with blood-based measures having the most missing data (see online supplementary table S1).
The amount of missing data varied substantially across different variables.
Rates of missing data varied widely (range: 5.0% to 65.5%).
For the Faroe Islands, the level of missing data varied between 6.7% and 10%.
Rates of missing data varied between 0% and 24% for commissioners' responses and 0%and28%8% for managers.
Follow-up missing data varied from 3% (for BMI) to 20% (for serum GLU levels).
The rate of missing data varied dependent on the specific measure and ranged from 2%-92%-9%
For questions relating to individual health symptoms, missing data varied between 0.8% to 3.4%.
For each question the amount of missing data varied from 0 to 12%.
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