Points to Consider on Missing Data: Clinical Approach or Statistical Approach

• Matsui Kenichi

  Dept. of Epidemiol. & Biostat., CMIC Co.,Ltd.

Bibliographic Information

Other Title

• 臨床的アプローチと統計的アプローチ
• リンショウテキ アプローチ ト トウケイテキ アプローチ

Abstract

In any clinical trial or epidemiological study , missing data will occur. The problem in dealing with missing data are discussed from both clinical and statistical view points. Clinical approaches (e.g. LOCF) are easy to understand for physicians and are often appropriate for considering clinical background settings. But they seem to be less objective compared with statistical approaches , including multiple imputation based on “propensity score”. Further efforts should be made to bridge these two approaches in order to deal with missing data appropriately.

Journal

• Japanese Journal of Biometrics

  Japanese Journal of Biometrics 27 (Special_Issue), S45-S49, 2006

  The Biometric Society of Japan

Keywords

• missing data
• bias
• LOCF
• MI on propensity score

Details

• CRID: 1390282679345186048
• NII Article ID: 10018357495
• NII Book ID: AA11591618
• DOI: 10.5691/jjb.27.s45
• ISSN: 21856494
• ISSN: 09184430
• NDL BIB ID: 8532441
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8532441
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed