A Numerical Study on Statistical Diagnostics in Cox Proportional Hazards Models for Survival Data Analysis

• Sung Jimin

• Tanaka Yutaka

書誌事項

タイトル別名

• A Numerical Study on Statistical Diagnostics on Cox Proportional Hazards Models for Survival Data Analysis
• Numerical Study on Statistical Diagnostics in Cox Proportional Hazards Models for Survival Data Analysis

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.

収録刊行物

• 岡山大学環境理工学部研究報告

  岡山大学環境理工学部研究報告 9 (1), 37-44, 2004-02-27

  岡山大学環境理工学部

キーワード

• Cox regression
• Influence function
• Local influence
• Influential Subsets
• Cox-Snell residuals
• Martingale residual
• Deviance residual

詳細情報

• CRID: 1390572174501068160
• NII論文ID: 120002313595
• NII書誌ID: AN10529213
• ISSN: 13419099
• DOI: 10.18926/fest/11453
• NDL書誌ID: 6889690
• Web Site: https://ousar.lib.okayama-u.ac.jp/11453
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I6889690
• 本文言語コード: en
• データソース種別:
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  • IRDB
  • NDL
  • CiNii Articles