Comparing imputation approaches to handle systematically missing inputs in risk calculators.
Risk calculators based on statistical and/or mechanistic models have flourished and are increasingly available for a variety of diseases. However, in the day-to-day practice, their usage may be hampered by missing input variables. Certain measurements needed to calculate disease risk may be difficul...
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Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
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Series: | PLOS Digital Health |
Online Access: | https://doi.org/10.1371/journal.pdig.0000712 |
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