The data was analysed to assess whether or not specific questions had a high percentage of missing data or the percentage of missing data increased in the last questions, indicating that the questionnaire was too long.
The percentage of missing data for each of the variables is included in Table 1.
Also called the rate of missing information, it differs from the percentage of missing data.
Our dataset had a high percentage of missing data for the components that made up our primary outcome.
Future studies should validate our findings in a larger multicenter cohort with a low percentage of missing data.
Given the fact that the percentage of missing data was very low (less than 0.05 % regarding the items from the RtL scale), we considered this procedure as tolerable.
The results suggested that WGEE estimator is consistent under various scenarios of percentage of missing data and sample size, while the WLS approach could yield biased estimators due to a misspecified missing data mechanism.
Within the 51 consensus contigs the percentage of missing data ranged between 0 and 13.54%.
It also permits to reduce the percentage of missing data per taxon by creating chimerical sequences from species belonging to the same predefined taxonomic group (see Table S2).
Arrays at 0h time point were left out of the analyses and we also discarded eight arrays with a high percentage of missing data.
Percentage of missing data, by locus.
