rs.surv {relsurv} | R Documentation |
Computes an estimate of the relative survival curve using the Kaplan-Meier method for the observed and the Hakulinen or Ederer II method for the expected survival.
rs.surv(formula, data,ratetable=survexp.us,fin.date,method="hakulinen",...)
formula |
a formula object, with the response as a Surv object on the left of a ~ operator, and,
if desired, terms separated by the + operator on the right. If the variables are not organized and named
in the same way as in the population tables, a ratetable term must be added to match each subject
to his/her expected cohort. The time must be in days. For a single survival curve the ~ 1 part of the
formula is not required.
|
data |
a data.frame in which to interpret the variables named in
the formula .
|
ratetable |
a table of event rates, organized as a ratetable object, such as survexp.us .
|
fin.date |
The date of the study ending, used for calculating the potential follow-up times in the Hakulinen method. If missing,
it is calculated as max(year+time) . Only to be specified when using the method=hakulinen .
|
method |
The method to be chosen for the estimation of the population survival. hakulinen for the Hakulinen method, conditional
for the Ederer II method.
|
... |
other arguments will be passed to the survfit function that calculates the observed survival. |
The potential censoring times needed for the calculation of the expected survival by the Hakulinen method
are calculated automatically. The times of censoring are left as they are, the times of events are replaced with
fin.date - year
.
a survfit
object; see the help on survfit.object
for details.
The survfit
methods are used for print
,
plot
, lines
, and points
.
data(slopop) data(rdata) rs.surv(Surv(time,cens)~sex+ratetable(age=age*365,sex=sex, year=year),ratetable=slopop,data=rdata)