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Therefore, we compared the proportion of intervention and control patients under this threshold, again averaging multiple readings for the same individual.
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The data were analyzed thematically for potential interventions and practices through multiple readings of the notes and listening to the audio recordings.
It involved multiple readings of the transcripts, documents, and field notes, and an exploration for themes, grouping them and looking for connections, an inductive approach.
After multiple readings of the transcripts common themes were identified.
Initial multiple readings of the transcripts with hand annotation was performed, before incorporating the data into word processor format for further study.
As the secondary analysis averaged multiple readings recorded for each individual, they ensured that all individuals contributed equal weight to the analysis, regardless of the number of readings made for each one The similarity of the results of the analyses suggests that they were not biased towards patients who attended general practice most often.
For multiple readings, the most abnormal reading was utilized.
In cases where multiple readings are available for a segment (e.g., from both sources and/or multiple detectors), average values are used.
Of course, art allows for multiple readings.
An abstract screen enlarges the possibility for multiple readings.
Inherent in all writing systems, then, is the potential for multiple readings.
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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