Cumulative Incidence Analysis
Estimate cumulative incidence functions from competing risks data and test equality across groups
cuminc(ftime, fstatus, group, strata, rho=0, cencode=0, subset, na.action=na.omit)
ftime |
failure time variable |
fstatus |
variable with distinct codes for different causes of failure and also a distinct code for censored observations |
group |
estimates will calculated within groups given by distinct values of this variable. Tests will compare these groups. If missing then treated as all one group (no test statistics) |
strata |
stratification variable. Has no effect on estimates. Tests will be stratified on this variable. (all data in 1 stratum, if missing) |
rho |
Power of the weight function used in the tests. |
cencode |
value of fstatus variable which indicates the failure time is censored. |
subset |
a logical vector specifying a subset of cases to include in the analysis |
na.action |
a function specifying the action to take for any cases missing any of ftime, fstatus, group, strata, or subset. |
A list with components giving the subdistribution estimates for each
cause in each group, and a component Tests giving the test
statistics and p-values for comparing the subdistribution for each cause
across groups (if the
number of groups is >1). The components giving the estimates
have names that are a combination
of the group name and the cause code.
These components are also lists, with components
|
the times where the estimates are calculated |
|
the estimated sub-distribution functions. These are step functions (all corners of the steps given), so they can be plotted using ordinary lines() commands. Estimates at particular times can be located using the timepoints() function. |
|
the estimated variance of the estimates, which are estimates of the asymptotic variance of Aalen (1978). |
Robert Gray
Gray RJ (1988) A class of K-sample tests for comparing the cumulative incidence of a competing risk, ANNALS OF STATISTICS, 16:1141-1154.
Kalbfleisch and Prentice (1980) THE ANALYSIS OF FAILURE TIME DATA, p 168-9.
Aalen, O. (1978) Nonparametric estimation of partial transition probabilities in multiple decrement models, ANNALS OF STATISTICS, 6:534-545.
set.seed(2)
ss <- rexp(100)
gg <- factor(sample(1:3,100,replace=TRUE),1:3,c('a','b','c'))
cc <- sample(0:2,100,replace=TRUE)
strt <- sample(1:2,100,replace=TRUE)
print(xx <- cuminc(ss,cc,gg,strt))
plot(xx,lty=1,color=1:6)
# see also test.R, test.outPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.