Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

BMJ. 2009 Jun 29:338:b2393. doi: 10.1136/bmj.b2393.

Abstract

Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bias
  • Biomedical Research / standards*
  • Biomedical Research / statistics & numerical data
  • Data Collection / standards*
  • Data Collection / statistics & numerical data
  • Random Allocation
  • Research Design