Abstract Number:
2229
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Speed
Participants:
SEONWOO KIM (1), Sook-Young Woo (2)
Institutions:
(1) LSK Global PS, N/A, (2) Samsung Medical Center, N/A
Co-Author:
First Author:
Presenting Author:
Abstract Text:
Identifying an optimal cutoff value of continuous variable associated with outcome variable is important for classifying high and low risk groups. This plays an important role in tailoring distinct treatment or procedure to each group. When outcome variable is the form of survival data with competing risk, methods for selecting cutoff value of continuous variable using test statistic have been proposed. Notably, even though concordance type measures have been commonly used to assess discriminatory power in survival data with competing risk, limited attention has been given to the determination of cutoff value for continuous variable using concordance type measure. This study proposed the methods for determining cutoff value of a continuous variable associated with survival outcome with competing risk using concordance type measures and evaluated the performances of the methods through simulation scenarios. These methods were also applied to real data to assess their practical utility. Simulation results indicated that the proposed methods tended to have good performance, even when the true cutoff value deviates from the center of the distribution of continuous variable.
Keywords:
Cutoff value of continuous variable|Survival outcome with competing risk|Concordance type measure| | |
Sponsors:
Korean International Statistical Society
Tracks:
Miscellaneous
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