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Transcripts were coded and analysed using a thematic approach whereby data were categorised and summarised according to themes identified through the coding and analysis process [35].
Given the differences between studies and the limitations of the literature, it is difficult to be sure that a pivotal episode number exists between this range after which effectiveness changes or whether this is simply a function of how data were categorised and analysed.
The interview data were categorised and analysed thematically by three researchers independently using triangulation method.
Continuous data were categorised and the independent variables are presented as frequencies.
To obtain the directly standardised prevalence rate, BETS data were categorised and applied to the National population [ 19].
The data were categorised and scored for analysis using the following summary measures: Treatment plan (the unit of analysis) Treatment plan (the unit of analysis) We analysed each patient's first presentation at an MDT meeting within the observation period.
Similar(54)
Some of the qualitative data was categorised and analysed by hand.
Subsequently, data was categorised and abstracted with the CFIR as a coding framework.
Patient differences between the fitted model and actual data were categorised by stage and treatment for both the Cox and log-normal models.
For each outcome, missing data were categorised into early and late dropout/completer patterns.
Missing data were categorised as unknown and occurred at rates less than 10% for all variables.
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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