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The rationale behind using drug combinations is based on the fact that individual worms may have a lower degree of resistance to a multiple component formulation (each chemical with different mode of action/resistance) compared to that observed when a single anthelmintic is used.
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Considering the post-2000 perionlynly, 61.9, 58.5 and 45.4% of the country-year SHDI combinations are based on at least one, two and three high-quality indicators, respectively.
Other combinations are based on science.
Analogously, 44.7% and 34.5% of the SHDI country-year combinations are based on at least two and three high-quality indicators, respectively.
The choice of the country value combinations was based on which value pair best typified the policy combination of interest.
These combinations are based on weights (eigenvectors) and the loading for each item/variable is the correlation between components, which serve to demarcate clusters of similar patterns (Colson et al. 2011).
(These letter/number combinations are based on Table 1).
However, the comparison of prediction combination methods is unaffected since all combinations are based on the same single method predictions.
The development of new combinations was based on laboratorial tests and assays were performed independently and in a blind manner.
Selection of antibody combinations was based on fixation, host species, avidity/affinity for specific epitopes and antigen density.
On the other hand, statistically, our findings of MetS component combinations were based on low case numbers, which might have resulted in a low number bias.
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