Addressing selection biases within electronic health record data for estimation of diabetes prevalence among New York City young adults: a cross-sectional study
Introduction There is growing interest in using electronic health records (EHRs) for chronic disease surveillance. However, these data are convenience samples of in-care individuals, which are not representative of target populations for public health surveillance, generally defined, for the relevan...
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BMJ Publishing Group,
2024-10-01T00:00:00Z.
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A1234.567 |
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