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Machine learning for improving high-dimensional proxy confounder adjustment in healthcare database studies: An

Richard Wyss1, Chen Yanover2, Tal El-Hay2,3

  • 1Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Pharmacoepidemiology and Drug Safety
|June 21, 2022
PubMed
Abstract

Keywords:
causal inferenceconfoundingmachine learning

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