Qualifying Missingness in Real-World Clinical Data for Secondary Use.

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Bibliographic Details
Title: Qualifying Missingness in Real-World Clinical Data for Secondary Use.
Authors: Fracasso P; Univ Rennes, CHU Rennes, INSERM, LTSI-UMR 1099, F-35000 Rennes, France., Pierre-Jean M; Univ Rennes, CHU Rennes, INSERM, LTSI-UMR 1099, F-35000 Rennes, France., Coatrieux G; IMT Atlantique, LaTIM, INSERM U1101, F-29238 Brest, France., Cuggia M; Univ Rennes, CHU Rennes, INSERM, LTSI-UMR 1099, F-35000 Rennes, France., Cabon S; Univ Rennes, CHU Rennes, INSERM, LTSI-UMR 1099, F-35000 Rennes, France.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 635-639.
Publication Type: Journal Article
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI260248