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HSUVs generated through mapping analyses tend to be associated with increased uncertainty and error when compared to HSUVs collected from patients.
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While some of these techniques (e.g. pollen mapping, mark-recapture, or genetic analyses) tend to measure minimum (rather than maximum) foraging distances, others (e.g. homing and feeder training experiments) often overestimate the routine foraging behavior of bees under natural conditions [36].
The analyses tend to be ad hoc and overly particular to the application at hand.
Furthermore, MP analyses tended to support the Amborella basal hypothesis and ML analyses supported Amborella + Nymphaeales.
KEO participated in the QTL mapping analyses.
NB and OD carried out the QTL mapping analyses.
GLM performed part of the QTL mapping analyses.
Uncertainties in health utilities derived from mapping algorithm tend to be underestimated.
As a result our analyses could tend to underestimate the strength of the effects being analysed.
Today, American maps still tend to centre on America; Japanese maps on Japan; and Chinese ones on China.
Because uniquely mapped reads tend to have higher entropy, entropy positively correlates with improved mapping efficiency.
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