Statistical approach and feedback for genetic, epidemiological or clinical data.
| Project/Area Number |
18K11189
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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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| Review Section |
Basic Section 60030:Statistical science-related
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| Research Institution | Yokohama City University (2019-2022)
Tokyo Medical and Dental University (2018) |
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Principal Investigator |
Tomita Makoto 横浜市立大学, データサイエンス学部, 教授 (20399025)
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| Project Period (FY) |
2018-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2019: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2018: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | ゲノムデータ解析 / 空間集積性 / データサイエンス学部 / ヘルスデータサイエンス研究 / ゲノムデータ / 統計コンサルティング / ヘルスデータサイエンス / 臨床研究 / 統計モデリング / 統計解析 / 生物統計学 / 健康保健データ / 対象患者 / リスク解析 / 臨床データ / 遺伝統計学 / ゲノム / 保健データ / 医療データ / 空間統計 / リスク推定 |
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| Outline of Final Research Achievements |
In recent years, studies of genetic diversity analysis have moved toward larger and larger data sets, and studies of epidemiology and mental health data have also begun to deal with large, spatially sampled, and vast amounts of information. The former is not simply a matter of statistical analysis, but has a unique genetic approach in this field, while the latter is also limited in its applicability due to computational expansion and practical limitations in computing time when considering spatial agglomeration.
Regarding the status of the use of data science, he gave an invited oral presentation at ECDA 2022 (Naples, Italy), and his paper summarized as an overview of genomic data analysis was accepted by WIREs Computational Statistics and will be published in 2023.
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| Academic Significance and Societal Importance of the Research Achievements |
データサイエンスを活用した状況については、ECDA2022(Naples, Italy)で招聘の口頭発表を行い、ゲノムデータ解析の統括としてまとめた論文がWIREs Computational Statisticsに採択され、2023年に掲載される運びとなった。前者は、本研究より大きな枠組みとなるデータサイエンスやヘルスデータサイエンスの潮流や最新情報を含むものであり、後者はゲノムデータ解析にまつわるデータ検証やデータ構造、解析アプローチなどを総合的に紹介しており、分野に専門・非専門を問わず有用な知識と情報を寄与できるものとなった。
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Report
(6 results)
Research Products
(19 results)
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[Journal Article] Comparison of Rigid and Soft-Brace Treatments for Acute Osteoporotic Vertebral Compression Fracture: A Prospective, Randomized, Multicenter Study2019
Author(s)
Kato Tsuyoshi, Inose Hiroyuki, Shoichi Ichimura, Yasuaki Tokuhashi, Hiroaki Nakamura, Masatoshi Hoshino, Daisuke Togawa, Toru Hirano, Hirotaka Haro, Tetsuro Ohba, Takashi Tsuji, Kimiaki Sato, Yutaka Sasao, Masahiko Takahata, Koji Otani, Suketaka Momoshima , Ukihide Tateishi, Makoto Tomita, Ryuichi Takemasa, et al.
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Journal Title
Journal of Clinical Medicine
Volume: 8
Issue: 2
Pages: 198-198
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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