| Project/Area Number |
17K18445
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Statistical science
Epidemiology and preventive medicine
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| Research Institution | Shizuoka Prefectural Hospital Organization (2019-2020)
Foundation for Biomedical Research and Innovation at Kobe (2018)
Osaka University (2017) |
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Principal Investigator |
Nakatani Eiji 地方独立行政法人静岡県立病院機構静岡県立総合病院(救急診療部、循環器病診療部、がん診療部、臨床診療部, 統計解析室, 室長 (80627670)
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| Project Period (FY) |
2017-04-01 – 2021-03-31
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| Project Status |
Completed (Fiscal Year 2020)
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| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2020: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
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| Keywords | 臨床経過 / グラフ表現図 / 構造化モデル / アンサンブル学習 / 集合解 / 樹木モデル / 平均因果効果 / 交互作用項検定 / 部分集団 / 層別 / アンサ ンブル学習 / ブートストラップ法 |
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| Outline of Final Research Achievements |
After the onset of a disease, the disease progresses with a variety of symptoms. I conducted a study to draw a statistically accurate picture of the typical symptom changes in patients with such a disease using data. In the first half of the study, I listed the statistical problems for drawing such a diagram. In the second half of the study, I conducted individual statistical studies on these problems. Through this research, I published many papers in the field of medicine and gave four international conference presentations in the field of statistics.
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| Academic Significance and Societal Importance of the Research Achievements |
この研究において進めた，疾患に罹った患者における代表的な症状の移り変わりを示す図を統計学に正確に描ければ，医療における治療やケア計画の立案に役立つし，疾患の特徴をより深く理解することができます．まだ研究は途中ではありますが，この研究のプロセスでわかった統計学や医療分野での問題点に対する研究の成果は，多くの論文公表と学会発表を行ったことで，医療統計学や疫学の分野での発展に寄与したと考えています．
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