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Occupation is missing for less than 4%% of the employed and the characteristics of these individuals appear generally similar to those of our analysis sample.
Self-rating responses were missing for less than 1%.
Conversely data on Emotions and Relationships were missing for less than 10% of Strengths and Vulnerabilities assessments and data on Mental State, Social Support, Occupation and Insight were missing for less than 10% of Strengths assessments.
As hearing data were missing for less than 1%% of the participants, missing values were not imputed.
Data were missing for less than five percent of respondents for most variables, and women with missing data were excluded from analyses with that variable.
Information on cause of death is missing for less than one percent of the sample and they have been excluded from the cause-specific analysis.
Similar(50)
* Values and percentages based on reported values and interpolations where data were missing for 10 days or less.
Data on health and social care service use were relatively complete (less than 2% missing for any particular service at baseline and less than 3% at follow-up).
However, by comparison to A. californica, the C. geographus venom duct transcriptome is less comprehensive, missing for example, 1) fatty acid synthesis pathways; 2) amino sugar metabolism pathways; 3) galactose metabolism pathways; 4) vitamin metabolism pathways and etc.
Since a subscore can be calculated when two or less items are missing for each subscale, it was only in a few cases a subscore could not be calculated.
Postal code was missing for a small percentage of patients(less than 2%); while some of these patients may be homeless, the proportion is not large enough to invalidate our study results.
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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