Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias

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 strategies for missing event times in a multi-state model analysis
  af: Curnow, Elinor, et al.
  Udgivet: (2024)
• The proportion of missing data should not be used to guide decisions on multiple imputation
  af: Madley-Dowd, Paul, et al.
  Udgivet: (2019)
• Accounting for missing data in statistical analyses: multiple imputation is not always the answer
  af: Hughes, Rachael A, et al.
  Udgivet: (2019)
• Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research
  af: Hardt, Jochen, et al.
  Udgivet: (2012)