ID | 11453 |
JaLCDOI | |
Sort Key | 5
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フルテキストURL | |
著者 |
Sung Jimin
岡山大学
田中 豊
岡山大学
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抄録 | There have been proposed so far many methods of statistical diagnostics in Cox regression for checking the goodness of the estimated model or checking the adequacy of the data. The former type contains the checking of the overall goodness of fit, the validity of the assumption of proportional hazards and the proper functional forms of the effects of covariates. While the latter type contains the checking whether there exist singly and/or jointly influential observations in the data set. In the present paper we study numerically the performances of various methods of diagnostics including our method of influence analysis for multiple-case diagnostics (Sung and Tanaka, 2003) by analyzing a real data set of lung cancer patients.
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キーワード | Cox regression
Influence function
Local influence
Influential Subsets
Cox-Snell residuals
Martingale residual
Deviance residual
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出版物タイトル |
岡山大学環境理工学部研究報告
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発行日 | 2004-02-27
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巻 | 9巻
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号 | 1号
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出版者 | 岡山大学環境理工学部
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出版者(別表記) | Faculty of Environmental Science and Technology, Okayama University
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開始ページ | 37
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終了ページ | 44
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ISSN | 1341-9099
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NCID | AN10529213
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資料タイプ |
紀要論文
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OAI-PMH Set |
岡山大学
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言語 |
英語
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論文のバージョン | publisher
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NAID | |
Eprints Journal Name | fest
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