Behaviour of Covariates in Time for Relative Survival Regression Models
Calculates the scaled partial residuals of a relative survival model (rsadd, rsmul or rstrans)
rs.zph(fit,sc,transform="identity",var.type="sum")
fit |
the result of fitting an additive relative survival model, using the
In the case of multiplicative and transformation models the output is
identical to |
sc |
partial residuals calculated by the |
transform |
a character string specifying how the survival times should
be transformed. Possible values are |
var.type |
a character string specifying the variance used to scale the residuals. Possible values are
|
an object of class rs.zph. This function would usually be followed by a
plot of the result. The plot gives an estimate of the time-dependent
coefficient beta(t). If the proportional
hazards assumption is true, beta(t) will be a horizontal
line.
Goodness of fit: Stare J.,Pohar Perme M., Henderson R. (2005) "Goodness of fit of relative survival models." Statistics in Medicine, 24: 3911–3925.
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.
data(slopop) data(rdata) fit <- rsadd(Surv(time,cens)~sex,rmap=list(age=age*365.241), ratetable=slopop,data=rdata,int=5) rszph <- rs.zph(fit) plot(rszph)
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