ID | 11453 |
JaLCDOI | |
Sort Key | 5
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FullText URL | |
Author |
Sung Jimin
Tanaka, Yutaka
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Abstract | 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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Keywords | Cox regression
Influence function
Local influence
Influential Subsets
Cox-Snell residuals
Martingale residual
Deviance residual
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Publication Title |
岡山大学環境理工学部研究報告
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Published Date | 2004-02-27
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Volume | volume9
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Issue | issue1
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Publisher | 岡山大学環境理工学部
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Publisher Alternative | Faculty of Environmental Science and Technology, Okayama University
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Start Page | 37
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End Page | 44
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ISSN | 1341-9099
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NCID | AN10529213
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Content Type |
Departmental Bulletin Paper
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OAI-PMH Set |
岡山大学
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language |
English
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File Version | publisher
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NAID | |
Eprints Journal Name | fest
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