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View Code? Open in Web Editor NEWA high-level summary of study accrual and data cleaning metrics
License: MIT License
A high-level summary of study accrual and data cleaning metrics
License: MIT License
for instance:
{
label: 'Screen Failed',
subset: [
{
key: 'SBJTSTAT',
values: ['Screen Failure'],
},
],
summary: 'count',
denominator: '# Participants',
},
allow summaries other than count/percentage
as opposed to adding rows one at a time iteratively
e.g. by some participant/visit/form/query characteristic (participant status/visit status/form verification level/query status or aging category)
i.e. identify participant, visit, form, etc. in each data stream, if applicable, and define a new, standard variable, say _participant_, _visit_, _form_, etc.
e.g. by site
one tab per table
import from dashboard-charts or store in this repo
check input dataset's columns?
perhaps add a little UI a la the dashboard-framework
like:
{
participants: [...],
visits: [...],
forms: [...],
queries: [...],
}
or just make a participant-level set with characteristics of interest
e.g. if two datasets match the same spec render each in its own container.
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