Assessing imputation techniques for missing data in small and multicollinear datasets: insights from craniofacial morphometry
The findings emphasize the importance of choosing suitable imputation techniques for small, high-dimensional, and correlated datasets such as those in craniofacial morphometry. RF emerged as the most effective method, offering a strong balance between accuracy and variance preservation.
Authors
- Norli Anida Abdullah (ORCID: https://orcid.org/0000-0002-5488-6789)
- Siti Fatimah Hassan (ORCID: https://orcid.org/0000-0002-3818-9799)
- Mohamad Norikmal Fazli Hisam
- Firdaus Hariri
Institutions
- University of Malaya (MY)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2026-02-04
- DOI
- https://doi.org/10.1186/s12874-025-02762-4
- Primary Topic
- Orthodontics and Dentofacial Orthopedics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Higher Education, Malaysia
- Ministério da Ciência, Tecnologia e Inovação
- Universiti Malaya