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Exact(11)
There were missing data from 11 participants, with a total of 15 missing values (0.1% of the data) and with the percentage missing data ranging from 0.4% to 1.2% per scale.
Similarly, the datasets have an overall 3.3% of missing data (ranging from 0%to30%0% per variable).
The number of respondents varied across the study variables due to missing data, ranging from 629 to 700.
Sexual functioning was an exception, with missing data ranging from 8% at 1 year to 29% at 5 years of follow-up (Supplementary Material).
There was only a small amount of missing data, ranging from none for most variables to a maximum of 18 (3% of the women) for MUAC.
The above technique is able to transfer a large number of cross-species attributes, thereby reducing the fraction of missing data ranging from 58 to 80% to about 10 15% in both positive and negative class data.
Similar(49)
For the six items used to measure Beliefs, the percent of missing data ranged from 11.7 to 12.7%%.
Missing data range from 0.29 to 10.75 % for the measures from the student survey and from 0.94 to 43.04 % for the measures from the parental survey (see Table 2).
Within the 51 consensus contigs the percentage of missing data ranged between 0 and 13.54%.
For the second stage, missing data ranged from 0.2%to2.5%5%.
Percentage of missing data ranged from 0 to 32% (62/193).
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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