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September 5, 2025International Journal for Population Data ScienceOpen Access

Handling of missing values in whole-population electronic health records: a simulation study

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Authors

ASAlexia SampriSISamantha IpCPCarmen Petitjean

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Overview

Simulation study investigates the impact of missing data mechanisms and imputation methods on EHR accuracy, suggesting MICE as a robust approach.

Key Points

  • MICE effectively manages missing BMI data in large EHR datasets, supporting accurate statistical outputs.
  • Preliminary analysis shows that subsampling strategies can reduce computational costs but may impact accuracy.
  • Simulation studies utilized NHS England EHRs to assess accuracy in the association with COVID-19 outcomes.
  • Choosing the right imputation method is crucial to balance computational efficiency and accurate adjustments.

Cite This Study

Sampri et al. (2025) studied this question.

synapsesocial.com/papers/68bb3ef72b87ece8dc95782fhttps://doi.org/10.23889/ijpds.v10i4.3265
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