| Project/Area Number |
17300091
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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, Biostatistics Center, Professor (80029488)
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| Co-Investigator(Kenkyū-buntansha) |
KAKUMA Tatsuyuki Kurume University, Biostatistics Center, Professor (50341540)
MORIKAWA Toshihiko Kurume University, Biostatistics Center, Professor (60425155)
NONAKA Yoshisuke Kurume University, Biostatistics Center, Post Doctoral Fellow (90389320)
YONEMOTO Koji Kyushu University, Graduate School of Medicine, Research Associate (90398090)
HATTORI Satoshi Kurume University, Biostatistics Center, Post Doctoral Fellow (50425154)
中尾 裕之 宮崎大学, 医学部, 助手 (40336293)
川口 淳 久留米大学, バイオ統計センター, 研究員 (60389319)
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| Project Period (FY) |
2005 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥12,920,000 (Direct Cost: ¥11,900,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2007: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2006: ¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2005: ¥4,900,000 (Direct Cost: ¥4,900,000)
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| Keywords | survival analysis / time dependent covariate / Spline function / functional analysis of variance / information criterion / repeated measurement / cohort study / stroke / 関数分散分析 / くり返し測定 / セミパラメトリック法 / 長期間追跡調査 |
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| Research Abstract |
1. Considering the situation that (i) the proportional hazard assumption employed in the Cox regression analysis does not hold, (ii) Covariates depend on time and the relationship between survival time and prognostic factors are non-linear, we developed a flexible method of the analysis of survival data based on the following ideas; (a) employed the first order Spline regression function for modeling the relationship of survival time and prognostic factors, (b) introduced tensor product to take into account the interaction of prognostic factors, and c introduced new algorithm for selecting to meaningful interaction terms and knots. Those theoretical problems that are arisen in the development are attacked by investigators under the leadership of the head investigator. The results are published in those papers listed below.
2. We developed a computer program for the new method and applied it to the data from the Hisayama cohort study to explore the relationship between stroke and covari
… More
ates. It is shown that the risk factors of the stroke that had non-linear relationship with survival time are detected in addition to the known risk factors. Also their risks on the stroke are assessed. Papers demonstrating the usefulness of the method were presented at several international meetings, and a paper submitted for publication, accepted and in press in the Statistics in Medicine.
3. The method above is for the survival data. But it is also useful for studying non-linear relationship of response variable and covariates in non-survival data. To demonstrate it the method was applied to the dada from male junior high school students for elucidate linear and non-linear relationships between reduced visual acuity and its contributing factors including living habits and environment. A paper summarizing the results is submitted for publication in a journal.
4. At least one international conference was held in a year to publicize the results that we obtained and had critical review of our research by world leading scientists. Less
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