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We next adopted the sample weighting method recently reported by Liu et al.21 to reduce inter sample variation prior to DEG identification to improve DEG analysis.
The sample weighting itself could be recalculated at each dropout [ 24].
The sample weighting and the complex study design were taken into account in all analyses to generate nationally representative estimates.
Using the old size for the sample weighting would result in overrepresentation of these large households, which could bias the outcomes.
This was addressed by the sample weighting scheme, which ensures that estimates provided by age and sex are generalisable to the adult Barbadian population, at least in terms of age and sex.
On the other hand, the variance in the samples for interaction of smoking with each professional category changes with the sample weighting: it is smaller for the professional stratum, larger for the technicians and much larger for the administrative group.
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Remaining estimates are weighted by the sample weights.
The weighted sample size reflects the number of objects and the sample weights.
Finally, the sample weights were plotted against time to obtain the degradation profile of the electrospun nanofibers.
Instead of the conventional representation of the weight loss based on the initial sample weight, the weight gain based on the sample weight at 1000°C was proposed.
The sample weight should be in a specific range for having a successful levitation process.
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