Identify the underlying true model from other models for clinical practice using model performance measures
The study found the true model is not always identified as the "outperformed" model by current conventional measures for binary outcome, even though such true model is presented in the clinical data. New statistical approaches or measures should be established to identify the casual true model from proxy models, especially for those in proxy models with extra noises and/or missing causal predictors.
Authors
- Yan Li (ORCID: https://orcid.org/0009-0008-6294-2884)
Institutions
- Xiamen University (CN)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1186/s12874-025-02457-w
- Primary Topic
- Statistical Methods in Clinical Trials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Xiamen University