| Project/Area Number |
23500346
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | The Institute of Statistical Mathematics |
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Principal Investigator |
KUROKI Manabu 統計数理研究所, データ科学, 准教授 (60334512)
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| Co-Investigator(Kenkyū-buntansha) |
NOMA Hisashi 統計数理研究所, データ科学研究系, 助教 (70633486)
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| Research Collaborator |
JUDEA Pearl UCLA, Cgnitive System Lab, Professor
CAI Zhihong 日本イーライリリー株式会社, 臨床開発部, アソシエイト
SANO Natsuki 東京理科大学, 理工学部, 助教 (60568971)
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| Project Period (FY) |
2011-04-28 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 未観測交絡因子 / 直接効果 / 間接効果 / 代替エンドポイント / 総合効果 / 中間変数 / 交絡因子 / 補助変数 / 因果効果 / 潜在反応アプローチ / 存在範囲 / 正規線形回帰モデル / ロジスティック回帰モデル / 原因の確率 / 同時介入 / 共変量情報 |
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| Outline of Final Research Achievements |
In this research, I considered evaluation problems for direct and indirect effects through a new causal concept, `natural'. Especially, I developed the effect restoration methods to derive the consistent estimator of the total effects when unmeasured confounders exist. In addition, I proposed selection criteria for intermediate variables to estimate direct effects with the variation reduction, and provided a new look at the propensity score method from the proposed criteria.
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