2015 Fiscal Year Final Research Report
Development of statistical methods for longitudinal brain research
| Project/Area Number |
24700286
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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
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| Research Institution | Kyoto University (2013-2015)
Kurume University (2012) |
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Principal Investigator |
Kawaguchi Atsushi 京都大学, 医学(系)研究科(研究院), 准教授 (60389319)
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Keywords | 脳・神経 / 画像解析 / 統計学 / 高次元複雑データ / 国際情報交換 / 経時測定 / 認知症 |
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| Outline of Final Research Achievements |
We developed a two-step dimension-reduction method to analyze high-dimensional and high intra correlational brain imaging data. A simulation study showed more significant advantage for the proposed method comparing with existing methods. We show that the proposed method offers classification functions with feasibility and reasonable prediction accuracy in studies of Alzheimer’s and Parkinson's disease.
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| Free Research Field |
生物統計学
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