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Buckley-James Model in Survival Analysis

Author

Listed:
  • Burcu Özcan
  • Duru Karasoy

Abstract

Cox proportional hazards model is the most common one in survival analysis. Buckley-James model can be offered as an alternative to Cox proportional hazards model. While Buckley-James model is focused on calculation of the expected value of the survival time, Cox proportional hazards model focuses on the relative risk of explanatory variables on the failure event. In this study, Buckley-James model is examined, and is applied on a breast cancer data set. Using this model risk factors affecting survival time of breast cancer is determined.

Suggested Citation

  • Burcu Özcan & Duru Karasoy, 2019. "Buckley-James Model in Survival Analysis," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 7(2), pages 485-496, December.
    • Handle: RePEc:anm:alpnmr:v:7:y:2019:i:2:p:485-496
    DOI: http://dx.doi.org/10.17093/alphanumeric.330039
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    More about this item

    Keywords

    Buckley-James Method; Censored Data; Cox Proportional Hazards Model; Survival Analysis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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