Flatiron R Packages
We’ve released a new version (0.2.0) of our cohort selection R package, rwdplyr, that includes:
- Updates to the summarize_patient_biomarker_status to align with the recent guidance released in the related tutorial, including new select methods and arguments
- Warnings in derive_age_at_event if a negative age is calculated
- Helper functions count_rows and count_patients for sizing remote and local tables
- New summarize_and_apply_gap_rule to calculate patient activity and filter patients in a single function call
- More detail can be found in the release notes in the repository
If you do not have access to rwdplyr and would like to, please submit the form on this webpage and Flatiron will follow up with further information.
COVID Updates
We’ve updated the Impact of COVID-19 on Flatiron Datasets section of the Knowledge Center for August 2020, including an update to our monthly observations of trends seen in Flatiron EDMs (incorporating data through July 2020), as well as a short explanation of ICD codes relating to COVID-19 in Flatiron EDMs.
| Disease | Total EDM Patients (October 2020) | Academic Patients (October 2020) |
|---|---|---|
| cll_oral_lot | 12236 | 895 |
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