Exact(6)
Data were categorised as follows.
Missing data were categorised as unknown and occurred at rates less than 10% for all variables.
Missing data were categorised as active smoking (smoking abstinence), not having made a quit attempt (quit attempts) or non-compliant with medications (adherence).
In this study, patients administered adrenaline were defined as those with data on timing of administration; patients without such data were categorised as not receiving adrenaline.
While patients in the ED-BE data were categorised as ILI cases due to one single chief complaint or working diagnosis, patients included in the ED-ES data fulfilled a more specific combined-case definition comparable to the case definition of the regional sentinel surveillance system.
Sociodemographic data were categorised as follows: Age 15 19, 20 24, 25 34 and 35 years and older; marital status as cohabiting or not; education as less than 12 years (high school not completed) or more than 12 years of education; occupation as full-time, part-time, student or other occupation.
Similar(54)
The latter measure is felt to be superior when correlating immunohistochemistry scores between raters, as it is calculated using the whole range of data, thereby not being influenced on how the data are categorised, as is the case with kappas (Kirkegaard et al, 2006).
Hypothesis tests, the tests of significance for analysing experimental data are categorised as (1) parametric tests, e.g. Chi-square test, t test, z test and F test (2) non-parametric tests, the distribution-free tests of hypotheses, independent of assumptions based on the characteristics of the original population.
The distribution of measured pollutants were extremely skewed, therefore the data were categorised into quartiles, as in previous manuscripts based on NHANES data.
One study included both prospective and retrospective data and was categorised as retrospective as this was the larger group.
Continuous data were categorised and the independent variables are presented as frequencies.
Write better and faster with AI suggestions while staying true to your unique style.
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