Your English writing platform
Discover LudwigExact(13)
To assist with analysis, the full list of unique headings was condensed into a shorter list of semantic equivalent heading classes.
The material summarised under those headings was extracted from the available witness statements, health records, Police and clinician interviews.
A search strategy incorporating keywords as well as utilizing Medical Subject Headings was used: ('PEEP' OR 'positive end-expiratory pressure' OR 'positive end-expiratory pressure' OR 'positive end-expiratory pressure') AND ('randomized' OR 'RCT'RCT
Transcript text collected under these broad headings was then reread and a second round of inductive sub-codes developed in response to new and emerging themes in the data (Corbin and Strauss 1990).
Furthermore, the overall pattern of headings was similar to that of vanishing bearings and headings were not more constant.
In EMBASE a similar search using the same headings was performed.
Similar(46)
Similarly, all subheadings attached to main headings were removed in order to identify only main heading frequency.
The headings were not in the original.
The headings are from the original.
What types of headings are normally used there?
Yes, the old section headings are back by popular demand.
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