Abstract
Survival analyses are commonly applied to study death or other events of interest. In such analyses, so-called competing risks may form an important problem. Competing risk are said to be present when a patient is at risk of more than one mutually exclusive event, such as death from different cause which will prevent any other from happening. when competing events are not independent treating subjects dying from extraneous causes as censored and then computing the ordinary Kaplan-Meir estimate results in biased survival estimates, in such cases,the cumulative incidence and cause-specific hazard may lead to valid results, but the resulting model does not allow one to estimate risks conditional on removal of one or more causes of the event.
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