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There was a minimal amount of missing data (<5%) and missing points were imputed.
These variables had a minimal amount of missing data with, at most, 3.5% missing for the motivation variable.
As there is a minimal amount of missing data and as there was no statistical significant difference in demoralisation scores between respondents with missing and non-missing data, this approach appeared appropriate [ 46].
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The minimal amount of missing data on the risk factors (independent variables) was addressed using list-wise deletion.
In summary, accurate and statistically supported phylogenetic inferences rely on the construction of large datasets with minimal amount of missing data and free of non-orthologous sequences, which makes species, gene and sequence sampling a crucial issue.
A minimal amount of missing values was observed for O3 and CO.
Prudential Life Insurance data set has attributes with a remarkable amount of missing data.
Furthermore some birth cohorts have a substantial amount of missing data [15].
The biggest differences were observed with RCT 9, which had a large amount of missing data.
First, we have a substantial amount of missing data.
Thus, there is a notable amount of missing data.
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