Example 7.38: Kaplan-Meier survival estimates

May 24, 2010
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(This article was first published on SAS and R, and kindly contributed to R-bloggers)

In example 7.30 we demonstrated how to simulate data from a Cox proportional hazards model.In this and the next few entries, we expand upon support in R and SAS for survival (time-to-event) models. We'll start with a small, artificial dataset of 19 subjects. Each subject contributes a pair of variables: the time and an indicator of whether the time is when the event occurred (event=TRUE) or

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