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Cause-Specific Analysis of Competing Risks Using the …

Cause-Specific Analysis of Competing Risks Using the

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cumulative incidence function when competing risks are present. This feature, as pointed out by Andersen et al. (2012), is the key to understanding the finesse required in competing-risks analysis and to choosing appropriate techniques. AN EXAMPLE OF COMPETING-RISKS DATA Bone marrow transplant is a standard treatment for acute leukemia.

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Competing Risk Survival Analysis Using PHREG in SAS 9

Competing Risk Survival Analysis Using PHREG in SAS 9

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Difference made by using FG –Results show that in presence of competing events, using Cox proportional hazard model can yield biased results affecting inference. –CIF plot makes it clear that CPH model is over estimating hazard. –Degree of over estimation depends on frequency and distribution of competing events.

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