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This project's goal is to add methods for absolute risk estimation and inference to the R package survival. Absolute risk is the probability of failure between time 1 and time 2 in the presence of competing events and given an individual's specific set of risk factors.

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Absolute risk estimation based on Cox proportional hazards models for the primary and competing events

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