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- 西川 正子
- 国立保健医療科学院・技術評価部
書誌事項
- タイトル別名
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- Competing Risks Model in the Analysis of Survival Data
- セイゾン ジカン カイセキ ニ オケル キョウゴウ リスク モデル
この論文をさがす
説明
The statistical analysis of survival time or failure time data is an important topic in many areas of research. In ordinary survival data, there is a single, possibly right-censored failure time for each individual. However, in a number of medical applications whereby data is collected an individual may experience one or more events but the first event will preclude the occurrence of another event under investigation. As a result, he/she can experience only one of several types of events. Such data are commonly referred to as competing risks data. Censoring due to such an event is generally not independent of the time to the event of interest.<BR>This paper reviews statistical methods for analyzing a competing risks model. Both conceptual considerations and common approaches to one-sample inference; two sample comparison; and covariate effect modeling are discussed. The theory for the analysis of ordinary right-censored survival data can be applied under certain circumstances. Standard statistical software package can perform the necessary analysis, although interpretation of results will vary.
収録刊行物
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- 計量生物学
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計量生物学 29 (2), 141-170, 2008
日本計量生物学会
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詳細情報 詳細情報について
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- CRID
- 1390282679346417152
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- NII論文ID
- 10025158022
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- NII書誌ID
- AA11591618
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- ISSN
- 21856494
- 09184430
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- NDL書誌ID
- 9751671
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- NDLサーチ
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可
