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This model was advantageous because it permitted sex-specific estimates without the need to stratify our sample and reduce power.
Second, we were able to randomly sample households to obtain a representative sample and reduce selection bias.
To improve the representation of the sample and reduce selection bias, total non-response was handled by adjusting the weight of individuals who responded to the survey to compensate for those who did not respond.
We elected to include all the subjects in a single, powerful study rather than split the sample and reduce the chances of finding significant novel loci associated with LDD.
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This standard image processing blurs structures in the sample and reduces the contrast in the cytosol of infected RBCs.
30 fractions were collected per sample and reduced to dryness using a speed vacuum centrifuge.
SAA can approximate the original two stochastic problem via sampling and reduce the number of scenarios.
To overcome this shortcoming,[19] suggested to slightly amplify speech interval samples and reduce the silence interval samples.
This study also designs an optimized stop-film pattern to obtain the best performance in exciting fluorescent samples and reduce background light.
The idea of boosting is to increases weights of misclassified samples and reduce the bias of class-imbalance learning.
We desired to minimise equilibration time to achieve high sample throughput and reduce unnecessary delays in sample assessment.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com