2016 Fiscal Year Final Research Report
Theories and applications of semiparametric inferences for time-to-event data with incomplete data
| Project/Area Number |
26330032
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Kagoshima University (2016)
Hirosaki University (2014-2015) |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | 統計的推測 / 生存解析 / 統計数学 |
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| Outline of Final Research Achievements |
In this research, we studied the fundamental theory, statistical applications and their useful developments for the semi-parametric inferences when analyzing time-to-event data obtained with incomplete observations, with the intention of extending the Cox regression model often used in statistical analysis of survival data (typically, life-time). We developed some useful tools for data analysis matched with the model characteristics, considering an extension of the Cox model and counting process model including important phenomenons in practice.
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| Free Research Field |
統計科学
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