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We extracted information on study design, sample size, model-building strategies and validation.
From this we extracted information on the use of prescribed contraception while in prison.
We extracted information from the video taken in the work area after all trials had been completed by participants.
For articles that met inclusion criteria, we extracted information on study design, predictive performance of risk models, and potential for bias.
We extracted information on study design, quality, participants, sample collection methods, adjustments for potential confounders and correlations between PBDE concentrations in internal and external matrices.
From our sample of 33 studies, we extracted information about the programme evaluated and its geographic and chronological setting, the sample studied and the methods applied.
We extracted information from 24 published papers on QTLs controlling 29 root parameters including root number, maximum root length, root thickness, root/shoot ratio, and root penetration index.
Finally, for patients who were known to have died, we extracted information on the likely cause of death.
We extracted information on the 66 consensus motifs responsible for mediating protein interactions, as stored in ELM, to search the over 45,000 structures in the PDB.
We extracted information on number and type of claims, number of misleading claims and proportions of advertisements compliant with codes or guidelines.
We extracted information from each paper into a spreadsheet.
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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