| Project/Area Number |
20700261
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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 | The Institute of Statistical Mathematics |
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Principal Investigator |
HENMI Masayuki The Institute of Statistical Mathematics, 数理推論研究系, 助教 (80465921)
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| Project Period (FY) |
2008 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
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| Keywords | 医学統計学 / 欠測データ解析 / 因果推論 / 最適化問題 / 統計数学 |
|---|
| Research Abstract |
In statistical analysis for medical studies, data sampling is often biased. In this research, new statistical methods have been developed for such situations. Firstly, we constructed a confidence interval which is robust to publication bias in meta-analysis. Then, for clinical trials of antihypertensive drugs, we proposed a method for evaluating causal interaction between the therapy and the treatment, controlling the effect of confounding factors. Finally, in survival analysis where the data is biased due to censoring, we considered a method which enables us to interpret a result of the analysis by the Cox regression model even when it is not correctly specified.
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