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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.
These sample sizes are equivalent to sampling proportions of 0.018, 0.05, 0.17, and 1 (on a natural logarithmic scale these sample sizes correspond approximately to 4, 5, 6, and 8).
Higher sampling proportions were drawn from strata where the likelihood of an end-of-life decision was higher.
Thus, if the sampling proportions are known, probabilities can be estimated as if the data came from a prospective study.
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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.
Unfortunately, this index is rather sensitive to sampling proportion φ.
The sampling proportion is used to adjust the finite population.
All indices except S increase with the sampling proportion φ.
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