A generative model for evaluating missing data methods in large epidemiological cohorts
Background: The potential value of large scale datasets is constrained by the ubiquitous problem of missing data, arising in either a structured or unstructured fashion. When imputation methods are proposed for large scale data, one limitation is the simplicity of existing evaluation methods. Specif...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
BioMed Central
2025
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