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Four categorization criteria were tested (Table 1): geography, language, subsistence mode and ecoregion (biome).
In each of these figures, the MDS plot is displayed four times, with populations being highlighted according to our four categorization criteria, namely geography, language, subsistence mode and biome.
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These four categorizations have been made with reference to the global financial crisis in the year 2007-2008.
Four categorizations of policy implementation: passive implementation, normal implementation (low speed), campaign-style implementation, and normal implementation (high speed) Applicability of policy Low High Pressure for implementation Low Passive implementation Normal implementation (low speed) High Campaign-style implementation Normal implementation (high speed).
This process yielded four categorizations of the comorbidity index; the full categorization plus three orders of collapsed categorization (eg, Table 1).
Using the two categorization schemes, the six authors classified the list of 43 WePISMs.
For the Off-Peak scenario, the safety impacts obtained from the two categorization methods differ substantially.
For the Near-Peak scenario, the average relative safety benefits obtained from the two categorization methods are again similar.
In particular, we compare two categorization methods, namely an ad hoc method, and a near-optimal method.
The absolute difference between these two estimates is approximately 13% of the average of the estimates provided by the two categorization methods.
However, in this paper we are specifically interested in a comparison of the average relative safety benefit obtained from the two categorization methods (Table 4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com