2011 Fiscal Year Final Research Report
Semiparametric inference for censored data and its applications
| Project/Area Number |
21500286
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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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 |
HATTORI Satoshi 久留米大学, バイオ統計センター, 准教授 (50425154)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 医薬生物 / ゲノム統計解析 |
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| Research Abstract |
In clinical trials, estimation of the treatment effect relies on some assumptions for statistical models. Violation of the assumptions may lead to difficulty to interpret results of the statistical analysis. In this research, we propose a method, which is interpretable in the presence of the violation. In addition, it is desirable to incorporate covariate information to draw more precise inference. We develop a method efficiently utilizing covariate information to increase statistical precision.
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Research Products
(18 results)
