GitHub Repositories
shiny-server— Shiny deployment config
In the research wiki
- Laboratory Workload Measurement — turning activity counts into comparable units of staff time, which is what makes a staffing argument out of a LabStats table rather than a description.
- Turnaround Time — the headline quality metric these dashboards report, and why its distribution matters far more than its mean.
- Memorial LIS Extracts — where the numbers come from, and which fields are reliable enough to build a metric on.
- Coverage Bias — the trap when a field is populated for some cases and not others: the metric then partly measures your data collection instead of the laboratory.
- Descriptive Tables — the reproducible route to the tables these analyses open with.