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Thread: Survival curve from competing risk analysis

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    Survival curve from competing risk analysis




    I conducted a competing risk analysis of time-to-event data and produced graphs for the cumulative incidence functions. The investigator that I am working with would prefer to show event-free probability on the graphs.

    I know that in the absence of competing risks, the cumulative incidence is equal to 1 minus the survival function S(t)...and conversely, S(t) is 1 minus cumulative incidence. Does this relationship hold in the presence of competing risks? In other words, can I take 1 minus my cumulative incidence functions and obtain a graph that shows event-free probabilities instead?

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    Re: Survival curve from competing risk analysis

    Seems right to me, but it has been awhile so I could be wrong.
    Stop cowardice, ban guns!

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    Re: Survival curve from competing risk analysis


    Thanks hlsmith for replying. It seems right to me too but I am hesitant to do so since I have only seen cumulative incidence graphs when analyzing time-to-event data in the presence of competing risks. I was hoping someone might have a paper or a reference where survival probabilities were used instead. If you have anything like that, would you please post the reference/paper? Thanks!

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