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These interactions provide extensive insight into important issues in the data set (Table 3).
Conclusion: Our study identified two issues in the data collection process that slightly limited the accuracy of our high resolution electronic database.
Standardizer and Structure checker from ChemAxon [30] were used in combination with our engine to identify and then curate issues in the data.
Such contextual anomalies can be useful in discovering both hidden quality issues in the data and real natural events of significance.
In addition, the implementation of semiparametric matching methods allows us to compare more comparable samples and, thus, control for additional sources of bias related to common support issues in the data.
This process enables the researcher to identify emerging themes or issues in the data.
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As panics about online risks come and go, researchers study an issue "in the data and not just in the stories that we hear".
Internal validity is also an issue in the data we report; as we were unable to verify data accuracy.
This is much better than the 'workbench' approaches that try to do too much and end up failing.The issue of errors in data conversion between formats is critical and is a known issue in the data archival world.
While, the lack of somatic hypermutation in T cells renders T-cell clonotype definition straightforward, it is a non-resolved issue in the data analysis of B-cell repertoire data [ 82].
A multilevel analytic approach will be used if non-independence of observations is an issue in the data and will be determined by calculating the Intra Class Correlations (ICC).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com