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* Denominator varies due to missing values (between 0 and 10 missings per variable).
Our results illustrate the effects of arc weights and matching as well as missing values between two trees.
The first algorithm calculates matching and missing values between two taxonomy trees separately and combines them globally.
A weighted tree similarity algorithm has been developed earlier which combines matching and missing values between two taxonomy trees.
For individuals with one or more missing values between baseline and final value, linear interpolation was used for imputation.
We introduce a generalized formula to combine the matching and missing values between two taxonomy trees which is given in Eq. 2. Let the matching value be match and missing value be λ v a l u e.
Similar(37)
In the first five of six subscales of the KINDL-R parent report (n =130), missing values were between 0% and 3.1%; in the school subscale, between 7.7% and 9.2%; and in the disorder subscale, between 10.8% and 13.1%.
In the first five subscales of the KINDL-R children and adolescent's self-report (n =133), missing values were between 0% and 3.0%; in the school subscale, between 5.3% and 6.0%; and in the disorder subscale, between 5.3% and 8.3%.
For patients, missing values were between 0 and 0.38% for items 1, 4, and 5, and between 0.24% and 1.61% for items 2 and 3.
The number of missing values ranges between 0% and 4.1%.
The frequency of missing values was between 2% and 5%.
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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