Fine-Gray cumulative incidence — morie_fine_gray_subdistribution

The Fine-Gray fit plus the baseline subdistribution hazard it implies, converted to cumulative incidence.

Usage

morie_fine_gray_subdistribution_hazard(time, cause, X, of_cause = 1, ...)

Arguments

time: follow-up times.
cause: event-type vector, as for morie_cause_specific_hazard.
X: covariate matrix.
of_cause: the cause to model.
...: passed to morie_competing_risks_fg.

Value

list with beta, se, times, baseline_cif, cumulative_incidence (n x times), cumhazard.

Details

Here \(1 - \exp(-\Lambda)\) IS a probability, which is precisely what it is not for a cause-specific fit – that is the whole reason the subdistribution hazard was defined.

References

Fine, J. P. and Gray, R. J. (1999). A proportional hazards model for the subdistribution of a competing risk. JASA, 94(446), 496-509.

Examples

set.seed(3)
X <- matrix(rnorm(200), ncol = 2)
tt <- rexp(100)
ct <- sample(0:2, 100, TRUE)
tail(morie_fine_gray_subdistribution_hazard(tt, ct, X)$baseline_cif, 1)
#> [1] 0.649903