Published January 24, 2022
| Version v4.0
Software
Open
goldsteinepi/validation_hcv: Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via diagnostic codes.
Creators
Description
Goldstein ND, Kahal D, Testa K, Gracely EJ, Burstyn I. Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via diagnostic codes. HDSR. Manuscript in press.
Files
goldsteinepi/validation_hcv-v4.0.zip
Files
(6.3 kB)
Name | Size | Download all |
---|---|---|
md5:6ca72783f965a64283021d165af4e041
|
6.3 kB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/goldsteinepi/validation_hcv/tree/v4.0 (URL)