| Project/Area Number |
24800081
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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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 |
NOMA Hisashi 統計数理研究所, 大学共同利用機関等の部局等, 助教 (70633486)
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| Project Period (FY) |
2012-08-31 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 階層ベイズモデル / 個別化医療 / 多重検定 / ケースコホート研究 / 欠測データ / セミパラメトリック統計理論 / 経験ベイズ法 / ネットワークメタアナリシス / マイクロアレイ / Multiple Imputation / 疫学 |
|---|
| Research Abstract |
Recent developments of computational environments have facilitated theoretical and practical researches of Bayesian statistical methodologies. This study developed novel and useful Bayesian statistical methods for clinical and epidemiological researches. In particular, we developed efficient methodologies for high-dimensional genome data analyses and molecular diagnosis. In addition, we studied complex epidemiological study designs and their efficient estimating methods, and developed statistical methods for network meta-analyses.
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