臨床評価における統計学上の論点 : 欠測値の諸問題 Points to Consider on Missing Data

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In clinical trials, missing data often happens for a variety of reasons, such as dropouts, making it difficult to analyze the primary variable measured longitudinally and to interpret the results of the primary analysis. While handling missing data sometimes causes bias in the results, there have been no established statistical approaches applied to missing data in appropriate situations. In November 2001, Committee for Proprietary Medical Product of the European Medicines Agency, issued "Points to Consider (PtC) on Missing Data", which focuses on several points that should be taken into account when handling missing data in clinical trials. In this paper, we review the contents of this PtC, which assumes that the primary analysis is based on the ITT principle, and discuss some of the approaches for handling missing data and the difficulties in interpreting these results.

収録刊行物

  • 計量生物学  

    計量生物学 27, S33-S44, 2006-09-30 

    The Biometric Society of Japan

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各種コード

  • NII論文ID(NAID)
    10018357473
  • NII書誌ID(NCID)
    AA11591618
  • 本文言語コード
    JPN
  • 資料種別
    REV
  • ISSN
    0918-4430
  • NDL 記事登録ID
    8532424
  • NDL 雑誌分類
    ZR1(科学技術--生物学)
  • NDL 請求記号
    Z74-B725
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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