Cox Regression Models with Nonproportional Hazards Applied to Lung Cancer Survival Data

Year 2007, Volume: 36 Issue: 2, 157 - 167, 01.02.2007

N. Ata M. T. Sözer

Keywords

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References

• Arjas, E. A graphical method for assessing goodness of fit in Cox’s proportional hazards model, Journal of the American Statistical Association 83, 204–212, 1988.
• Andersen, P. K. Borgan, G. and Keiding, N. Linear nonparametric tests for comparison of counting process with application to censored survival data, International Statistical Review 50, 219–258, 1982.
• Collett, D. Modelling Survival Data in Medical Research, (Chapman&Hall, London, 1994). [4] Cox, D. R., Regression models and life-tables, Journal of the Royal Statistical Society Series B 34, 187–220, 1972.
• Fisher, L. D. ve Lin D. Y. Time-dependent covariates in the Cox proportional hazards re- gression model, Annual Review of Public Health 20, 145–157, 1999.
• Gill, R. D. and Schumacher, M. A simple test for the proportional hazards assumption, Biometrika 74, 289–300, 1987.
• Klein, John P. and Moeschberger, M. L. Survival Analysis Techniques for Censored and Truncated Data, (Springer, New York, 1997).
• Kleinbaum, D. G. Survival Analysis: A Self-Learning Text, (Springer, New York, 1996).
• Persson, I. Essays on the assumption of proportional hazards in Cox regression, http://www.diva-portal.org., 2002. [10] Pettitt, A. N. and Daud, I. Bin Investigating time dependence in Cox’s proportional hazards model, Applied Statistics 39, 313–329, 1990.
• Schemper, M. Cox analysis of survival data with nonproportional hazards functions, The Statistician 41, 455–465, 1992.
• Schoenfeld, D. Partial residuals for the proportional hazards model, Biometrika 69, 551–55, 1982.
• Therneau, T. M. and Grambsch, P. M. Modelling Survival Data: Extending the Cox Model, (Springer, New York, 2000).