survfit.rsadd | R Documentation |
Computes a predicted survival curve based on the additive model estimated by rsadd function.
## S3 method for class 'rsadd' survfit( formula, newdata, se.fit = TRUE, conf.int = 0.95, individual = FALSE, conf.type = c("log", "log-log", "plain", "none"), ... )
formula |
a rsadd object |
newdata |
a data frame with the same variable names as those that appear in the rsadd formula. The curve(s) produced will be representative of a cohort who's covariates correspond to the values in newdata. |
se.fit |
a logical value indicating whether standard errors should be
computed. Default is |
conf.int |
the level for a two-sided confidence interval on the survival curve(s). Default is 0.95. |
individual |
a logical value indicating whether the data frame represents different time epochs for only one individual (T), or whether multiple rows indicate multiple individuals (F, the default). If the former only one curve will be produced; if the latter there will be one curve per row in newdata. |
conf.type |
One of |
... |
Currently not implemented |
When predicting the survival curve, the ratetable values for future years
will be equal to those of the last given year. The same ratetables will be
used for fitting and predicting. To predict a relative survival curve, use
rs.surv.rsadd
.
a survfit
object; see the help on survfit.object
for
details. The survfit
methods are used for print
, plot
,
lines
, and points
.
Package: Pohar M., Stare J. (2006) "Relative survival analysis in R." Computer Methods and Programs in Biomedicine,81: 272–278.
Relative survival: Pohar, M., Stare, J. (2007) "Making relative survival analysis relatively easy." Computers in biology and medicine, 37: 1741–1749.
survfit
, survexp
, rs.surv
data(slopop) data(rdata) #BTW: work on a smaller dataset here to run the example faster fit <- rsadd(Surv(time,cens)~sex,rmap=list(age=age*365.241), ratetable=slopop,data=rdata[1:500,],method="EM") survfit.rsadd(fit,newdata=data.frame(sex=1,age=60,year=17000))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.