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Research-article

Are competing risks models appropriate to describe implant failure?

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Pages 256-258 | Received 08 Dec 2017, Accepted 06 Feb 2018, Published online: 09 Mar 2018

Figures & data

Figure 1. Panel (a) is a line plot that illustrates the time at risk of 10 patients entering a study following arthroplasty (time 0) and exiting the study after failure where the only possible mechanism of exiting the study is failure, i.e., no other cause of censoring occurs. Panel (b) is a line plot that illustrates a non-informative mortality profile of the same 10 patients entering a study following arthroplasty (time 0).

Figure 1. Panel (a) is a line plot that illustrates the time at risk of 10 patients entering a study following arthroplasty (time 0) and exiting the study after failure where the only possible mechanism of exiting the study is failure, i.e., no other cause of censoring occurs. Panel (b) is a line plot that illustrates a non-informative mortality profile of the same 10 patients entering a study following arthroplasty (time 0).

Figure 2. A line plot that illustrates the time at risk of 10 patients entering a study following arthroplasty (time 0) and the combination of a failure and mortality mechanism, i.e., mortal patients.

Figure 2. A line plot that illustrates the time at risk of 10 patients entering a study following arthroplasty (time 0) and the combination of a failure and mortality mechanism, i.e., mortal patients.

Figure 3. KM survival curves and the 1 minus the cumulative incidence function in mortal and immortal cohorts.

Figure 3. KM survival curves and the 1 minus the cumulative incidence function in mortal and immortal cohorts.