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Cause-Specific Analysis of Competing Risks Using the …

Paper SAS2159-2018 Cause-Specific Analysis of Competing Risks Using the PHREG ProcedureChangbin Guo and Ying So, SAS Institute Analysis extends the capabilities of conventional survival Analysis to deal with time-to-event data thathave multiple causes of failure. Two regression modeling approaches can be used: one focuses on the cumulativeincidence function (CIF) from a particular cause, and the other focuses on the Cause-Specific hazard function. Thesetwo quantities, unlike the hazard function and the survival function in conventional survival settings, are not connectedthrough a simple one-to-one relationship.

Competing-risks analysis extends conventional survival analysis. For the latter, statistical methods such as the Kaplan-Meier estimate, the log-rank test, and the Cox regression are widely used in many applications. Although the log-rank test and the Cox regression can be adapted with minimal effort to make inferences about the cause-specific

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  Analysis, Using, Risks, Survival, Kaplan, Meier, Competing, Analysis of competing risks using the

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