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How handling missing data may impact conclusions: A comparison of six different imputation methods for categorical questionnaire data.

Marianne Riksheim StavsethThomas ClausenJo Røislien
Published in: SAGE open medicine (2019)
The choice of missing handling methodology has a significant impact on the clinical interpretation of the accompanying statistical analyses. With missing data, the choice of whether to impute or not, and choice of imputation method, can influence clinical conclusion drawn from a regression model and should therefore be given sufficient consideration.
Keyphrases
  • electronic health record
  • big data
  • decision making
  • cross sectional
  • artificial intelligence