2013 Fiscal Year Final Research Report
Unification of three-type likelihood-inferences and its application development in Cox-type counting processes model under incomplete data
| Project/Area Number |
23700336
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Statistical science
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| Research Institution | Hirosaki University |
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Principal Investigator |
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| Project Period (FY) |
2011 – 2013
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| Keywords | 統計的推測 / 統計数学 / データ分析 / 生存時間解析 / 統計解析 / 点過程論 |
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| Research Abstract |
In this research, we studied the statistical inference theory and statistical methods outstanding in several situations accompanied with incomplete data, in order to create further useful applications and developments of the Cox regression models, which are often used as a tool for data analysis to evaluate the effect of patient's treatment or prognosis factors statistically in the area of clinical medicine, and so on. We investigated the properties and roles on the three types of partial likelihoods, and their relationships to elucidate them in terms of theory and applications.
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