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Competing Risks in Survival Analysis using SAS

Competing Risks in Survival Analysis using SAS. Brenda Gillespie, University of Michigan Presented at the 2014 Michigan SAS Users' Group Schoolcraft College, Livonia, MI. May 20, 2014. 2014 Center for Statistical Consultation and Research, University of Michigan All rights reserved. Outline Introduction to Competing Risks Kaplan-Meier for cause-specific Survival Cumulative Incidence Function Cause-specific hazards; conditional probability Testing based on the CIF: Gray's test Cox regression with Competing Risks data Regression using Fine-Gray models (controversial). Cautions in using Competing risk regression models Censored Survival Data Event Time origin Censoring time The time to an event ( , death, recurrence, transplant) is recorded. When we are prevented from following the subject until the event, the subject is censored at their last follow up time (last time known to be event free). We assume that censoring is independent of event times!

Competing Risks in Survival Analysis using SAS Brenda Gillespie, Ph.D. University of Michigan Presented at the 2014 Michigan SAS Users’ Group Schoolcraft College, Livonia, MI

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