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Five loci (TPScp1, TPScp 2, TPScp4, TPScp7, and TPScp8) were later excluded from the dataset, because of a high missing value percentage that demonstrated amplification difficulties and/or presence of null alleles.
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The missing value percentages for each item of the Chinese version scale ranged from 0.00%to0.54%4%.
By deleting the missing values from the Treatment II Scale from the calculations, missing value percentages for the total cardiac module decrease from 15.0%to5.4%4% for child self-report, and from 14.6% to 4.8% for parent proxy-report.
* Due to missing values, percentages do not always add up to 100%.
Due to missing values, percentages cannot be computed based on total subjects Overall, a significantly higher proportion of the combined group of fatigued participants (65.2%) reported having various medical or psychiatric conditions than the non-fatigued participants (38.5%) (p < 0.0001).
None of the variables had >5% missing values; the percentage of missing values ranged from 0.1% for BMI to 2.9% for years of oral contraceptives use.
The formulation of the quantitative items can be found in Tables 1 and 2. *2 missing values, valid percentages given.
The percentage of missing value for each item of the scale ranged from 0.00%to8.31%1%.
Feasibility was determined by the average completion time and percentage of missing value for each item.
In all the domains, the largest percentage of missing value appeared in Intimacy, 2.0-2.7% in the 21th, 23th, 24th item.
The percentage of missing value for each item of the scale ranged from 0.00% to 8.31% (Table 4).
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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