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Proposal for a robust correction method of publication bias in meta-analysis

Research Project

Project/Area Number 21K13270
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 07030:Economic statistics-related
Research InstitutionYokohama National University

Principal Investigator

Furukawa Chishio  横浜国立大学, 大学院国際社会科学研究院, 准教授 (30897541)

Project Period (FY) 2021-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2022: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywordsメタ分析 / 統計的意思決定論 / コミュニケーション・モデル / バイアス補正方法
Outline of Research at the Start

社会科学の実証研究において、否定的な結果が肯定的な結果に比べ発表されにくいという「出版バイアス」が存在し、エビデンスの統合における重要な問題である。出版バイアスは、利己的な動機を持つ研究者が自分の研究結果をよりよく見せようとする結果だと考えられることが多い。本研究では、情報処理のための認知的制約を持つ論文読者に、分かりやすく研究結果を伝えたいという利他的な動機からも出版バイアスが生じるという新しい仮説を、ゲーム理論を用いて検討する。このモデルに基づき、特定の仮定に依存しない、既存の手法より頑強な出版バイアスの補正手法を新たに開発し、その有効性を検証をする。

Outline of Final Research Achievements

This research project has aimed to combine statistical methods of meta-analyses and theoretical models of statistical decisions to explore how to translate statistical analyses into policy making. The project began with the extension of my Ph.D. dissertation . In addition, there were two main sets of progress:
(1) on meta-analysis methods: the effort to synthesize various estimates from studies with different backgrounds rests on the assumption that there is a well-defined common parameter. However, meta-analysis methods have been criticized when the studies substantially differ since the common parameter may not be properly estimated. We develop a new approach to examining the validity of these concerns; (2) on statistical decision models: randomization has been a central principle in statistical inference. However, the expected utility models cannot justify randomization. By augmenting benchmark of expected utility with contemplation costs, we aim to explain the role of randomization.

Academic Significance and Societal Importance of the Research Achievements

「異なる文脈における推定値をどのように統合するか」、「なぜランダム化が統計推論に役立つか」という問題は伝統的な批判であり、これらの基本的問題への理解を深めることが学術的意義である。また、古典的問題の新しい定式化によって、新しい推定アルゴリズムや十分統計量の公式を導出し、実践的に役立てられることが社会的意義である。

Report

(4 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • Research Products

    (3 results)

All 2023 2022 Other

All Int'l Joint Research (1 results) Presentation (2 results) (of which Int'l Joint Research: 1 results)

  • [Int'l Joint Research] チャールズ大学(チェコ)

    • Related Report
      2023 Annual Research Report
  • [Presentation] A New Test for External Validity in Meta-Analyses2023

    • Author(s)
      古川知志雄
    • Organizer
      CREPE-Day
    • Related Report
      2023 Annual Research Report
  • [Presentation] Tail Estimates and Decision Tree in Meta-Analyses2022

    • Author(s)
      Chishio Furukawa
    • Organizer
      MAER-Net Colloquium 2022
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research

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Published: 2021-04-28   Modified: 2025-01-30  

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