| Project/Area Number |
19700260
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Statistical science
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| Research Institution | University of Yamanashi |
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Principal Investigator |
SHIMOKAWA Toshio University of Yamanashi, 大学院・医学工学総合研究部, 准教授 (00402090)
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| Project Period (FY) |
2007 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥3,730,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2008: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2007: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | 樹木構造接近法 / がん臨床試験 / アンサンブル学習法 / 多分岐型樹木構造接近法 / ルールフィット法 / ランダムフォーレスト法 / 生存時間解析 / がん臨床研究 / 緩和ケア / 医師主導型臨床試験 / 縮小推定量 / ステイジ分類 / データ適応型分布 / 個の医療 / 多分岐樹木 / 無作為化臨床試験 / 癌臨床研究 / ベキ正規分布 / 尤度 / 変数重要度 / 癌臨床試験 / パラメトリック接近法 / データピーリング接近法 |
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| Research Abstract |
In survival analysis, the useful tool for exploration of the factors is tree structured method. Recently, the tree-structured method has been applied to evaluate covariates (e.g., Crowley, 2004). In this research, have propose the multi-split tree structured method based on k-samples generalized rank test statistics. Moreover, we proposed the methodology of data-adaptive multi-split tree structured method, assuming the power-normal distribution as the survival distribution of each terminal node, where power-normal distribution is defined as the distribution specified before the power-normal transformation. Furthermore, We propose some ensemble method, namely rule ensemble method via elastic net and shrinkage boosting trees.
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