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This constancy of RMSE values implies that for high rates of missing data (more than 20% of missing data) the RMSE values remain acceptable.
These clusters/haplotypes may be able to parameterize biologically missing data more optimally than partially imputed SNP.
Anyway, to avoid uncertainty by missing data more efforts should be made in future to minimize this weakness.
Note: *, **, ***percentages are calculated based on less than 1082 respondents due to missing data More than 50.0% (95%CI = 52.0-58.2) of the total sample was observed to practice sexual risk behaviours.
The LMMs have the advantage of using all available data to account for the correlation between repeated measurements on the same subject, to model time effects, and to handle the missing data more appropriately than traditional ANOVAs [ 43].
Missing data more broadly reflects the fact that many medical records are rarely kept up to date and complete in sub-Saharan Africa, making their use problematic for rigorous analysis and follow-up of outcomes [ 24].
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Reasons for missing data comprise more than 4 missing species in source MSAs and lack of convergence in the PSS calculation.
The subjects with missing data were more likely to be 55 years and older, and to have more nodal involvement, for similar stage and tumour size (data not shown).
No variable had missing data of more than 5%%.
Weeks with missing data on more than 2 of 7 days were coded as 'missing' for the relevant week.
Illinois' Medicaid agency is missing data on more than 30,000 people.
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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