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We aimed to clinically assess a random selection of at least 40% of those who scored > 8 on the screen.
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According to variance analysis calculations, PSV scattering sources breakdown into three main components which have been assessed, a random friction tester term and two biases caused by test specimen preparation and polishing machine.
Random "imagine you are assessing a random archival document".
To summarize, we used the following three value scenario prompts: 1. Random "imagine you are assessing a random archival document" 2.
Two authors blindly assessed a random subset of abstracts to corroborate inclusion and exclusion (JPC, AH).
A second reviewer (FMW) independently assessed a random selection of papers excluded at that stage.
assessed a random sample of 10% of the articles to verify the extraction process.
An independent reviewer (RK) assessed a random selection of articles to ensure quality of data extraction.
A framework for scoring the reviews was developed and agreement assessed; a random sample of 20 appraisals (10 control and 10 intervention) was assessed using this framework.
A second investigator (KKL) assessed a random sample of 200 initial titles and abstracts during the initial screening process, and no cases of disagreement were found.
Furthermore, we assessed a random sample of case report forms and verified the validity of our inclusion criteria as explained in research design and methods.
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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