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The overall sampling strategy includes principles for grouping, sampling proportion within group and sampling method from each group.
With 10% entire sampling ratio, the optimal sampling strategy was to group samples based on their growing regions, in combination with logarithmic sampling proportion within each group.
For display purposes (e.g., in Fig. 4) a running average smoothing function (sampling proportion = 0.1; SigmaPlot; Systat Software, Inc.; San Jose, CA) was used in the cumulative histogram figures, but statistics were always performed on unsmoothed data.
Post-stratification weighting was done at the strata level (wet highland, dry highland, wet lowland, dry lowland) after observing that the sampling proportion did not perfectly match the true distribution of the population.
Unfortunately, this index is rather sensitive to sampling proportion φ.
The sampling proportion is used to adjust the finite population.
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Three sampling proportions 5%, 10%and15%5% were used in the study.
Total proportions were calculated taking the different sampling proportions into account.
Sampling proportions and baseline characteristics of subjects whose samples were selected for analysis are shown in Table S4.
Thus, if the sampling proportions are known, probabilities can be estimated as if the data came from a prospective study.
Results were weighted using the sampling proportions in order to reflect the population in the strata studied.
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