event: Scheduling interim analyses in clinical trials for...

In interim: Scheduling Interim Analyses in Clinical Trials

Description

Function event simulates the events base on a recruitment scenario simulated by function recruitment.

Usage

event(r, er, dr, du)

Arguments

r	recruitment scenario calculated with function recruitment.
er	event rate during the clinical trail.
dr	drop-out rate during the clinical trail.
du	duration of the clinical trail in weeks.

Details

event simulates the events based on a given recruitment scenario. The function assumes an exponential distribution for the event probability with a common event rate for all subjects (er). The drop-out rate may be included. For the probability of an drop-out, treatment assumes an exponential distribution with a common rate dr. It is assumed that the even and drop-out time are independent of each other.

Value

• event returns a list of vectors with the following components:

• events a vector with the (cumulative) number of frist events (events before drop-out)

• drops a vector with the (cumulative) number of patients who droped out of the trail before the first event

• weeksOfEvent a vector with the corresponding trial week when patients have experienced the first event (with start of site openings as reference start)

See Also

recruitment for simulating recruitment scenarios; eventCourse for plots of recruitment and event scenarios;

Examples

x=recruitment(nc=Inf,ns=Inf,cw=4,sw=2,sf=0.3,tb=4,en=400)
y=event(r=x,er=0.12,dr=0.08,du=50)

x=recruitment(nc=Inf,ns=Inf,cw=4,sw=2,sf=0.3,tb=4,en=400)
y=event(r=x,er=0.12,dr=0.08,du=50)

interim documentation built on June 24, 2019, 9:03 a.m.