Cross-site imputation can recover missing variables in federated multicenter studies
Given the increasing importance of multisite studies in observational research, cross-site imputation could offer a practical approach for imputing variables that have not been recorded in some study sites.
Authors
- Paul Madley‐Dowd (ORCID: https://orcid.org/0000-0003-2932-9486)
- Viktor H. Ahlqvist (ORCID: https://orcid.org/0000-0003-1383-3194)
- Nicola Orsini (ORCID: https://orcid.org/0000-0002-2210-5634)
- Robert Thiesmeier (ORCID: https://orcid.org/0000-0002-4590-5538)
Institutions
- Uppsala University (SE)
- University Hospitals Bristol NHS Foundation Trust (GB)
- Aarhus University Hospital (DK)
- Karolinska Institutet (SE)
Publication Details
- Journal
- Journal of Clinical Epidemiology
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1016/j.jclinepi.2025.111820
- Citations
- 4
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.44
Funders
- Vetenskapsrådet