The phrase "addressing sampling" is correct and usable in written English.
It can be used in contexts related to research, statistics, or data collection where the focus is on discussing or handling sampling methods or issues.
Example: "In our study, addressing sampling is crucial to ensure the validity of our results."
Alternatives: "tackling sampling" or "dealing with sampling".
A recent paper by Cairns et al 2009 [ 28] addressing sample size and technical and biological variation, states the significance of performing in house tests on protocol and sample size.
Only Deforge et al. addressed sampling outside the image boundary with introduction of an extra memory line to flush the pipeline when required.
While this function by convention produces 95%% credible intervals, one should only focus on the relative risk estimates and the weighted (pooled) average relative risk, since confidence intervals address sampling error and therefore are not valid under the above adjustments.
The method builds upon the standard comparison of herbarium samples with genebank accessions via gap analysis [17], yet aims to address sampling biases by modeling species distributions with a robust algorithm, and refining these distributions using two different criteria.
In order to address sampling adequacy, a minimum total of 12 participants in both user and non-user groups was targeted.
To address sampling limitations a larger study is required involving greater numbers of students and schools (without prior relationships with Teenage Cancer Trust).
These include how best to address sampling variability in the patterns, comparing the performance of different rules based on the proportion of bootstrap samples which fall outside the meaningful threshold.
We address sample collection, protein extraction and fractionation, mass spectrometry modalities, and quantitative proteomics.
Meanwhile, NASA has requested a new Space Studies Board study to address sample returns from bodies other than Mars.
First, the GSEM's Heckman probit correction (−heckprobit-) (StataCorps, 2013) was used to address sample selection bias due to attrition at follow-up waves (3-, 9-, and 15-months).
