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 |
Section | 一般 |
Research Field |
Statistical science
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Research Institution | Kagoshima University (2016) Hirosaki University (2014-2015) |
Principal Investigator |
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Project Period (FY) |
2014-04-01 – 2017-03-31
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Project Status |
Completed (Fiscal Year 2016)
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Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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Keywords | 統計的推測 / 生存解析 / 統計数学 / セミパラメトリック推測 / コピュラモデル / ログランク統計量 / 相対生存モデル / Laplace近似 / セミパラメトリック / Laplace原理 / 不完全観測データ / Cox回帰モデル / セミ競合リスク / 相対生存率 / 特異値分解 / 打ち切りデータ / セミ競合リスク問題 |
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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Report
(4 results)
Research Products
(8 results)
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[Journal Article] Sample size determination in group-sequential clinical trials with two co-primary endpoints2014
Author(s)
Asakura, K., Hamasaki, T., Sugimoto, T., Hayashi, K., Evans, S., Sozu T
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Journal Title
Statistics in Medicine
Volume: (First published online)
Issue: 17
Pages: 2897-2913
DOI
Related Report
Peer Reviewed / Open Access
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