Appropriate inclusion of interactions was needed to avoid bias in multiple imputation

Lignende værker

• Multiple imputation of missing data under missing at random: compatible imputation models are not sufficient to avoid bias if they are mis-specified
  af: Curnow, Elinor, et al.
  Udgivet: (2023)
• Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias
  af: Curnow, Elinor, et al.
  Udgivet: (2023)
• Accounting for missing data in statistical analyses: multiple imputation is not always the answer
  af: Hughes, Rachael A, et al.
  Udgivet: (2019)
• Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables()
  af: White, Ian R., et al.
  Udgivet: (2010)
• Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study
  af: Cornish, R. P., et al.
  Udgivet: (2017)