Comparison of Five Single Imputation Methods in General Missing Pattern

  • Kang, Shin-Soo (Department of Information Statistics, Kwandong University)
  • Published : 2004.11.30

Abstract

'Complete-case analysis' is easy to carry out and it may be fine with small amount of missing data. However, this method is not recommended in general because the estimates are usually biased and not efficient. There are numerous alternatives to complete-case analysis. One alternative is the single imputation. Some of the most common single imputation methods are reviewed and the performances are compared by simulation studies.

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