Description Usage Arguments Details Value References See Also Examples
This function estimates the cumulative incidence function (CIF) for each respective event type using all competing events incidence rates.
1 
irates 

t 
A vector of timepoints for which the CIF shall be calculated 
event.code 
A character or numerical value that specifies the respective competing events for which the CIF shall be calculated. If 
covar.code 
A character or numerical value that specifies the respective covariate vlaues for which the CIF shall be calculated. If 
full.sample 
A logical value that specifies if the CIF shall also be calculated for the full sample, i.e., irrespective of any covariate value. Default is set to 
The cumulative incidence function is the expected proportion of type h events over the course of time.
An object of class cif
. This object is implemented as a list of the (besides prespecified) following items:
t 
Timepoints for which the CIF is calculated 
cif 
CIF estimates corresponding to 
Grambauer, N., Schumacher, M., Dettenkofer, M. and Beyersmann, J. (2010) Incidence densities in a competing events setting. American Journal of Epidemiology 172,1077–1084. http://aje.oxfordjournals.org/lookup/doi/10.1093/aje/kwq246
1 2 3 4 5 6 7 8 9 10 11 12 13  ### Example data.frame with aggregated count data
dat < data.frame(
times = c(7948,2899),
no.event = c(6,8),
event.1 = c(589,68),
event.2 = c(55,21),
row.names = c("covar0","covar1"))
### Compute irates object from dat
ir < irates(dat)
### Compute the cumulative incidence function from irates object, e.g.
cif(irates = ir, t = 1:10)

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