Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis

Lignende værker

• Randomized trials with missing outcome data: how to analyze and what to report
  af: Groenwold, Rolf H.H., et al.
  Udgivet: (2014)
• Investigating Risk Adjustment Methods for Health Care Provider Profiling When Observations are Scarce or Events Rare
  af: Brakenhoff, Timo B, et al.
  Udgivet: (2018)
• Adjustment for continuous confounders: an example of how to prevent residual confounding
  af: Groenwold, Rolf H.H., et al.
  Udgivet: (2013)
• Imputing missing covariate values for the Cox model
  af: White, Ian R, et al.
  Udgivet: (2009)
• Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study
  af: Marshall, Andrea, et al.
  Udgivet: (2010)