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Waiting times (w jh ) for each HRG in each hospital are measured at the 80th percentile of the distribution for patients categorised to each HRG.
Women were then categorised to each of the following occupational settings: A) contact with patients (n = 8,699), B) contact with children (n = 9,151), C) contact with food products (n = 932), D) contact with animals (n = 287), and E) the rest were classified as "unexposed workers" (n = 46,308).
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Three patients were categorised to have no morphologic response.
Predicted values ≥0.5 were categorised to a value of 1 and values <0.5 were categorised as 0. In the adjusted models we also included an indicator for whether or not each control variable was missing.
Participant descriptions of the labels were categorised according to each of the warning labels and the 'Get the facts' logo.
Exploratory Factor Analysis (principal components analysis) with the number of factors left free was performed to categorise each item to its respective domains.
Each initiative is also categorised according to the key priority area to which it relates.
Each attendance was categorised according to the eventual clinical decision made to admit or discharge.
Each of these were then categorised as to the type of technique according to the taxonomy (actual behaviour change talk).
Therefore, we set the cut-off value for dysadherin immunopositivity at 50%, which made it simple for observers to categorise each case according to dysadherin expression.
Each individual is categorised according to 72 data points, such as their birthplace or previous employment.
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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