Informative missingness in electronic health record systems: the curse of knowing
Abstract 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...
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| Format: | Article |
| Language: | English |
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BMC
2020-07-01
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| Series: | Diagnostic and Prognostic Research |
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| Online Access: | http://link.springer.com/article/10.1186/s41512-020-00077-0 |