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Use of calibration to improve the precision of estimates obtained from All of Us data.

Vivian Hsing-Chun WangJulie HolmJosé A Pagán
Published in: Journal of the American Medical Informatics Association : JAMIA (2024)
Calibration using raking is cost-effective and may lead to more precise estimates when analyzing All of Us data.
Keyphrases
  • electronic health record
  • big data
  • low cost
  • machine learning
  • data analysis
  • artificial intelligence