Informative missingness in electronic health record systems: the curse of knowing.
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ABSTRACT:
SUBMITTER: Groenwold RHH
PROVIDER: S-EPMC7371469 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Informative missingness in electronic health record systems: the curse of knowing.
Diagnostic and prognostic research 20200702
Electronic health records provide a potentially valuable data source of information for developing clinical prediction models. However, missing data are common in routinely collected health data and often missingness is informative. Informative missingness can be incorporated in a clinical prediction model, for example by including a separate category of a predictor variable that has missing values. The predictive performance of such a model depends on the transportability of the missing data me ...[more]
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Project description:Background and study aims
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Who can participate?
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What does the study involve?
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