SURVIVAL DISTRIBUTION IN BREAST-CANCER

  • 1 January 1977
    • journal article
    • research article
    • Vol. 82  (4) , 443-447
Abstract
It was stated that human breast cancer survival rates follow an exponential distribution. This would mean that the mortality rate is constant. Survival distribution was analyzed by the clinical life table method in 10,752 patients and in another 656 patients followed up to 8 and 18 yr, respectively. Necessarily, clinical survival data are censored progressively. These kinds of data are analyzed best by examining the hazard function, which is the instantaneous death rate, or force of mortality. If an exponential distribution described survival in breast cancer correctly, the hazard function would be constant. These data clearly are not consistent with an exponential distribution, as the hazard function decreases. The survival distribution calculated from these data shows that the chance of dying of cancer decreases the longer a patient survives. This is more optimistic and consistent with clinical experience than is the exponential distribution.

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