relsurv: rsbr – R documentation

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rsbr

Test the Proportional Hazards Assumption for Relative Survival Regression Models

Description

Test the proportional hazards assumption for relative survival models (rsadd, rsmul or rstrans) by forming a Brownian Bridge.

Usage

rs.br(fit,sc,rho=0,test="max",global=TRUE)

Arguments

`fit`	the result of fitting a relative survival model, using the `rsadd`, `rsmul` or `rstrans` function.
`sc`	partial residuals calculated by the `resid` function. This is used to save time if several tests are to be calculated on these residuals and can otherwise be omitted.
`rho`	a number controlling the weigths of residuals. The weights are the number of individuals at risk at each event time to the power `rho`. The default is `rho=0`, which sets all weigths to 1.
`test`	a character string specifying the test to be performed on Brownian bridge. Possible values are `"max"` (default), which tests the maximum absolute value of the bridge, and `cvm`, which calculates the Cramer Von Mises statistic.
`global`	should a global Brownian bridge test be performed, in addition to the per-variable tests

Value

an object of class rs.br. This function would usually be followed by both a print and a plot of the result. The plot gives a Brownian bridge for each of the variables. The horizontal lines are the 95 of the Brownian bridge

References

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.

Examples

data(slopop)
data(rdata)
fit <- rsadd(Surv(time,cens)~sex,rmap=list(age=age*365.241),
		ratetable=slopop,data=rdata,int=5)
rsbr <- rs.br(fit)
rsbr
plot(rsbr)

relsurv

Relative Survival

v2.2-3

GPL

Authors

Maja Pohar Perme [aut, cre]

Initial release

2018-11-28