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Importance of missingness in baseline variables: A case study of the All of Us Research Program.

Robert Michael CroninXiaoke FengLina SuliemanBrandy MapesShawn GarbettAshley AbleRyan HaleMick P CouperHeather SansburyBrian K AhmedaniQingxia Chen
Published in: PloS one (2023)
Surveys in the All of Us Research Program will form an essential component of the data researchers can use to perform their analyses. Missingness was low in All of Us baseline surveys, but group differences exist. Additional statistical methods and careful analysis of surveys could help mitigate challenges to the validity of conclusions.
Keyphrases
  • cross sectional
  • quality improvement
  • electronic health record
  • machine learning