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    Modeling survival in colon cancer: a methodological review

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    Author
    Ahmed, Farid E.; Vos, Paul W.; Holbert, Donald
    Abstract
    The Cox proportional hazards model is the most widely used model for survival analysis because of its simplicity. The fundamental assumption in this model is the proportionality of the hazard function. When this condition is not met, other modifications or other models must be used for analysis of survival data. We illustrate in this review several methodological approaches to deal with the violation of the proportionality assumption, using survival in colon cancer as an illustrative example. Originally published Molecular Cancer, Vol. 6, No. 15, Feb 2007
    URI
    http://hdl.handle.net/10342/3202
    Subject
     Survival models; Colon (Anatomy)--Cancer; Cox proportional hazards model 
    Date
    2007-02-12
    Citation:
    APA:
    Ahmed, Farid E., & Vos, Paul W., & Holbert, Donald. (February 2007). Modeling survival in colon cancer: a methodological review. , (. Retrieved from http://hdl.handle.net/10342/3202

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Ahmed, Farid E., and Vos, Paul W., and Holbert, Donald. "Modeling survival in colon cancer: a methodological review". . . (.), February 2007. April 18, 2021. http://hdl.handle.net/10342/3202.
    Chicago:
    Ahmed, Farid E. and Vos, Paul W. and Holbert, Donald, "Modeling survival in colon cancer: a methodological review,"  , no. (February 2007), http://hdl.handle.net/10342/3202 (accessed April 18, 2021).
    AMA:
    Ahmed, Farid E., Vos, Paul W., Holbert, Donald. Modeling survival in colon cancer: a methodological review. . February 2007; () . http://hdl.handle.net/10342/3202. Accessed April 18, 2021.
    Collections
    • Biostatistics
    Publisher
    East Carolina University

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