| Project/Area Number |
20300099
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Kurume University |
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Principal Investigator |
YANAGAWA Takashi Kurume University, バイオ統計センター, 教授 (80029488)
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| Co-Investigator(Kenkyū-buntansha) |
KAKUMA Tatsuyuki 久留米大学, バイオ統計センター, 教授 (50341540)
HATTORI Satoshi 久留米大学, バイオ統計センター, 准教授 (50425154)
YONEMOTO Kouji 久留米大学, バイオ統計センター, 講師 (90398090)
ARAKI Yuko 久留米大学, バイオ統計センター, 助教 (80403913)
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| Research Collaborator |
YOUNG Truong Kinh-Nhue University of North Carolina, Department of Biostatistics, USA, 教授
TETUJI Ohyama 大分大学, 医学部, 助教
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥15,600,000 (Direct Cost: ¥12,000,000、Indirect Cost: ¥3,600,000)
Fiscal Year 2010: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2009: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2008: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
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| Keywords | 統計数学 / 医療・福祉 / 社会医学 / 生存時間解析 / 多状態モデル / コホート研究 / 情報量基準 / Mantel-Haenszel法 / 加速モデル / 対数ハザード比 / 分割表解析 / 関数分散分析 / セミパラ / セミマルコフ性 / イベントヒストリー解析 |
|---|
| Research Abstract |
New method for the analysis of event history data is developed by weakening the assumption of Semi-Markov property and by modeling not only the waiting time of transition from a state to the other state, but also transition probability, separately, by means of covariates that are transformed by spline functions so that it enables to evaluate their non-linear effects. The method is applied to several medical data and its usefulness is demonstrated.
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