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Any unresolved discrepancies between reviewers regarding the extracted data will be resolved by the third reviewer.
Any disagreement regarding extracted data will be resolved by discussion or consultation among the reviewers.
Disagreement regarding extracted data will be resolved by consensus or arbitration by a third reviewer, if necessary.
35 Discrepancies regarding extracted data will be resolved as before, by discussion with the other core review team and advisory group, as necessary.
Similar(56)
Discrepancies in data extraction or data entry will be resolved by consensus.
All ambiguous or implausible data items will be resolved by data queries to the investigators in the field.
All data queries will be resolved prior to locking the database for analysis.
Any eligibility disagreements encountered during data extraction will be resolved by consensus, or arbitration by a third reviewer.
Any disagreement in data extraction will be resolved by discussion or consultation with a third arbitrator ZL).
To ensure accuracy, two reviewers (CS or MJE, and AAV) will independently abstract all data; discrepancies will be resolved by discussion.
Discrepancies in the data extracted will be resolved by discussion and reaching a consensus, and if necessary, arbitration by a third author.
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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