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Unmeasured confounding and misclassification in vaccine effectiveness studies using electronic health records (EHRs): an evaluation of a multi country European study (VEBIS-EHR)

2025-05-01 epidemiology Title + abstract only
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BackgroundElectronic health record (EHR)-based observational studies can rapidly provide real-world data on vaccine effectiveness (VE), particularly key during the COVID-19 pandemic. However, EHR data may be prone to misclassification and unmeasured confounding, requiring systematic mitigation to ensure robust findings. MethodsIn VEBIS-EHR, a retrospective multi-country COVID-19 VE cohort study, we examined unmeasured confounding using a negative control outcome (death not related to COVID-19) ...

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