Cumulative incidence estimates in the presence of competing risks

In the analysis of time-to-event end points, a competing risk (competing cause or competing event) may be defined as “an event whose occurrence either precludes the occurrence of another event under examination or fundamentally alters the probability of occurrence of this other event” [1]. Recent articles in the Journal of Clinical Epidemiology have shown that Kaplan–Meier (KM) estimates biased from competin g risks are commonly published in leading medical journals [2,3] and overestimated event risk by over 10% in approximately one-third of studies susceptible to competing events [3].

Source: Journal of Clinical Epidemiology - September 15, 2017 Category: Epidemiology Authors: Samantha Morais, Lu ís Antunes, Maria José Bento, Nuno Lunet Tags: Letter to the Editor Source Type: research