Example 7.30: Simulate censored survival data

March 30, 2010

(This article was first published on SAS and R, and kindly contributed to R-bloggers)

To simulate survival data with censoring, we need to model the hazard functions for both time to event and time to censoring. We simulate both event times from a Weibull distribution with a scale parameter of 1 (this is equivalent to an exponential random variable). The event time has a Weibull shape parameter of 0.002 times a linear predictor, while the censoring time has a Weibull shape

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