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After all data were screened and cleaned, 438 surveys were usable.
All data were screened for errors.
All data were screened for outliers and normal distributions by considering boxplots and histograms.
All data were screened for statistical outliers using Grubb's Test (GraphPad Software, CA, USA).
Whenever a new category was identified, all data were screened again for occurrence of that category.
Upon arrival, all data were screened in detail by a dedicated intensive care specialist for any missing information, insufficient detail, or any other queries.
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All data was screened for such inheritance error (see below) and markers with an excess of these errors were removed from the analysis.
Then, all the data were screened as follows: in accordance with two or more people (not limited to the same person), at least arriving at the same place twice (with two) above, and each static time more than 0.5 h.
All original data were screened for batch effects, different Affymetrix probe-sets were matched (Netaffx [ 70]) and then the data were combined.
Health plan pharmacy dispensing data were screened to identify all members who received two or more anti-TB medications during the study period.
For each protein example, data were screened against each homologue search model (including self), searching all alternative SGs belonging to the reported point group (Table 2).
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