A Multi-Split Tree Structured Method in Survival Analysis
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- ETO Toshihisa
- Fujitsu Oita Software Laboratories
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- SHIMOKAWA oshio
- Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi
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- GOTO Masashi
- Biostatistical Research Association, Non-profit Organization
Bibliographic Information
- Other Title
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- 生存時間研究における多分岐型樹木構造接近法
- セイゾン ジカン ケンキュウ ニ オケル タブンキガタ ジュモク コウゾウ セッキンホウ
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Abstract
In survival analysis, it is one of important subjects to explore influencing factors on prognosis of relevant diseases. The useful tool for exploration of the factors is tree structured method. In this paper, we proposed a multi-split tree structured method. Then, we can present the complicated interactions of those influencing factors on prognosis using graphical display. Then, we evaluated performance of the multi-split tree structured method by using certain literature examples and conducting simulation. As a result, the multi-split tree had the small number of terminal nodes rather than ordinary binary-split tree. When true tree structure had many (rather than two) branches, total mean squared error of estimated hazard of the multi-split tree structured method was less than one of the binary-split tree structured method. That is, the performance of the former was superior to one of the latter. Moreover, we can use the multi-split tree structured method in order to diagnose the result of the binary-split tree structured method.
Journal
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- Kodo Keiryogaku (The Japanese Journal of Behaviormetrics)
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Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 34 (1), 1-20, 2007
The Behaviormetric Society
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Details 詳細情報について
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- CRID
- 1390001205179671040
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- NII Article ID
- 110006242774
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- NII Book ID
- AN0008437X
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- ISSN
- 18804705
- 03855481
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- NDL BIB ID
- 8770448
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed