survival (version 2.11-4)

Surv: Create a Survival Object


Create a survival object, usually used as a response variable in a model formula.


Surv(time, event)
Surv(time, time2, event, type=, origin=0)


for right censored data, this is the follow up time. For interval data, the first argument is the starting time for the interval.
any S-PLUS object.
The status indicator, normally 0=alive, 1=dead. Other choices are T/F (TRUE = death) or 1/2 (2=death). For interval censored data, the status indicator is 0=right censored, 1= event at time, 2=left censored, 3=interval censored. Although unu
ending time of the interval for interval censored or counting process data only. Intervals are assumed to be open on the left and closed on the right, (start, end]. For counting process data, event indicates whether an event o
character string specifying the type of censoring. Possible values are "right", "left", "counting", "interval", or "interval2". The default is "right" or "counting"
for counting process data, the hazard function origin. This is most often used in conjunction with a model containing time dependent strata in order to align the subjects properly when they cross over from one strata to another.


  • An object of class Surv. There are methods for print,, and subscripting survival objects. To include a survival object inside a data frame, use the I() function. Surv objects are implemented as a matrix of 2 or 3 columns.

    In the case of is.Surv, a logical value T if x inherits from class "Surv", otherwise an F.




In theory it is possible to represent interval censored data without a third column containing the explicit status. Exact, right censored, left censored and interval censored observation would be represented as intervals of (a,a), (a, infinity), (-infinity,b), and (a,b) respectively; each specifying the interval within which the event is known to have occurred.

If type = "interval2" then the representation given above is assumed, with NA taking the place of infinity. If `type="interval" event must be given. If event is 0, 1, or 2, the relevant information is assumed to be contained in time, the value in time2 is ignored, and the second column of the result will contain a placeholder.

Presently, the only methods allowing interval censored data are the parametric models computed by survreg, so the distinction between open and closed intervals is unimportant. The distinction is important for counting process data and the Cox model.

The function tries to distinguish between the use of 0/1 and 1/2 coding for left and right censored data using if (max(status)==2). If 1/2 coding is used and all the subjects are censored, it will guess wrong. Use 0/1 coding in this case.

See Also

coxph, survfit, survreg.


Run this code
Surv(aml$time, aml$status)

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