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We considered missing data not to be at random and therefore not ignorable since we suspected that the frequency of missing data might vary depending on the individual completing the data collection form and the acuity of the intubation event.
In all PAML analyses, codons containing alignment gaps due to insertion-deletion events among species were treated as missing data and not considered in pairwise comparisons where one species contained sequence and another species did not.
Positions containing gaps and missing data were not considered in the analysis.
Genotypes with more than 10% missing data were not considered for linkage analysis.
Sites containing gaps and missing data were not considered in the analysis.
Alignments containing a majority of gaps and missing data were not considered for subsequent analyses.
Missing data were not considered in the analyses, which were performed with SPSS Statistics version 17.0 (SPSS Inc, Chicago, IL, USA).
Missing data were not considered in the univariate analyses but were included as a separate categorical value for each of the variables included in the multivariate analysis.
Missing information was not considered.
Such a missing data should not be considered detrimental since a study comparing EEG modifications induced by standardized (i.e. with end tidal pCO2 measures) and non-standardized hyperventilation (i.e. without end tidal pCO2 measures) showed that both procedures changed the spectral power density of EEG in all frequency bands [6].
Two types of intermittent missing data were considered: intermittent missing forms and intermittent missing items.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com