cuminc_weib: Compute true cumulative incidence for one of two competing...

In survival-lumc/CauseSpecCovarMI: Multiple imputation for cause-specific Cox models

Compute true cumulative incidence for one of two competing events

Description

Based on Weibull hazards from both competing events. Integration is done via stats::integrate.

Usage

cuminc_weib(alph_ev, lam_ev, alph_comp, lam_comp, t)

Arguments

alph_ev	Numeric - shape of event of interest
lam_ev	Numeric - rate of event of interest
alph_comp	Numeric - shape of competing event
lam_comp	Numeric - rate of competing event
t	Scalar of vector of (positive) timepoints

Value

Scalar, value of cumulative incidence

Examples

time <- seq(0.1, 10, by = 0.1)

# Use baseline parametrisation from sim study
cuminc <- cuminc_weib(
alph_ev = 0.58,
lam_ev = 0.19,
alph_comp = 0.53,
lam_comp = 0.21,
t = time
)

plot(
x = time, 
y = cuminc, 
type = "l", 
xlab = "Time", 
ylab = "Cumulative incidence"
)

survival-lumc/CauseSpecCovarMI documentation built on June 16, 2022, 9:51 a.m.