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Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level.

Ines RombachAlastair M GrayCrispin JenkinsonDavid W MurrayOliver Rivero-Arias
Published in: BMC medical research methodology (2018)
Many factors, including the prevalence of missing data in the study, sample size, the number of items within the PROM and numbers of levels within the individual items, and planned analyses need consideration when choosing an imputation model for missing PROMs data.
Keyphrases
  • patient reported
  • electronic health record
  • patient reported outcomes
  • big data
  • risk factors
  • data analysis
  • deep learning