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Pre-processing data to reduce biases: full matching incorporating an instrumental variable in population-based studies.

Ilan Cerna-TuroffKatherine MaurerMichael Baiocchi
Published in: International journal of epidemiology (2022)
Full-IV Matching is a novel approach that is promising for increasing inference accuracy when unmeasured sources of bias likely exist.
Keyphrases
  • electronic health record
  • single cell
  • drinking water
  • big data
  • data analysis