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All identifying information (names, locations, person-identifiable information, etc).
All identifying data (name, DOB (only age included), demographics) were removed from electronic medical records prior to data analysis.
All identifying information of interviews and surveys were omitted.
All identifying information was removed from the transcripts.
All identifying characteristics (name, age, etc) were concealed before data analysis.
All identifying information was removed in the transcripts to maintain anonymity.
All identifying traits in interviews that could be traced back to participants were removed during transcription.
All identifying information was ensured to be kept confidential and informed consent was obtained from each of the participants.
All identifying information including names and identity card number of the patients will be expunged using correction tape.
All identifying patient data from the study practices was pseudonymized, i.e. only the study practice was able to identify patients.
To guarantee anonymity, NTDB data are purged of all identifying patient and hospital identifiers.
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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