Two-stage multiple imputation with a longitudinal composite variable
In the context of a longitudinal composite variable with missing values due to various missing mechanisms, the selection of imputation methods and ignorability assumptions plays an important role within the two-stage MI framework.
Authors
- Xuzhi Wang (ORCID: https://orcid.org/0000-0003-4326-691X)
- Martin G. Larson (ORCID: https://orcid.org/0000-0002-9631-1254)
- Chunyu Liu (ORCID: https://orcid.org/0000-0002-2652-5409)
Institutions
- Boston University (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1186/s12874-025-02555-9
- Citations
- 2
- Primary Topic
- Statistical Methods and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 5.26
Funders
- National Heart, Lung, and Blood Institute