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Each is categorised within nine priority areas for quality improvement: (1) pain management; (2) continuity of care; (3) management of patients with nutritional disorders; (4) patient safety; (5) taking account of patients' views; (6) implementation of practice guidelines; (7) promoting motivation, accountability and evaluation of skills; (8) access to care and (9) coordination of care.
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Each individual is categorised according to 72 data points, such as their birthplace or previous employment.
In addition, each posting is categorised, based on a number of presets, such as 'questions', 'observations', 'news', 'flirt' etc., and users can comment either publicly or in private, again anonymously.
Each address is categorised as urban or rural based on the interviewer's observation.
Each terminal node is categorised as 1 (positive) or 0 (negative) depending on whether the proportion of 1's exceeds the proportion of 1's in the population (30.3%).
Each subscale score is categorised as low or high based on normative population score.
Each of the artists is categorised by the cities they reside in Chicago, Los Angeles, Mexico City, and Vancouver.
Each post in a feed is categorised and tagged.
Suppose further that we have a simplified categorical structure for each variable, with each individual being categorised into 0=non-smoker, 1=Low, 2=Medium or 3=High for each of these covariates.
As a secondary outcome, for each subscale score, each woman was categorised as having high baseline needs (a score in excess of 50) or low baseline needs (50 and below).
The patients within each dataset were categorised by tertiles of the range of assigned probabilities and the resulting categorisations were analysed using Cox proportional hazards both univariately and adjusted for IPI.
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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