SimData.TwoArm {ClinTrialPredict} | R Documentation |
Simulating survival dataset for a two-arm design
Description
Simulating survival dataset for a two-arm design
Usage
SimData.TwoArm(
N.0 = NULL,
N.1 = NULL,
ratio = NULL,
d = NULL,
l = NULL,
gamma.c = NULL,
s = NULL,
m = NULL,
alpha0.t = NULL,
nu0.t = NULL,
HR = NULL,
alpha1.t = NULL,
nu1.t = NULL,
design2 = NULL,
seed = NULL,
nsim = NULL
)
Arguments
N.0 |
number of subjects plan to be enrolled in control arm |
N.1 |
number of subjects plan to be enrolled in experimental arm |
ratio |
randomization ratio between two arms: |
d |
expected number of events observed at time |
l |
observation time |
gamma.c |
parameter of the exponential distribution of censoring time |
s |
enrollment time |
m |
maximum follow-up time for a subject |
alpha0.t |
shape parameter of weibull survival distribution for control arm |
nu0.t |
scale parameter of weibull survival distribution for control arm |
HR |
hazard ratio of experimental group over control group |
alpha1.t |
shape parameters of weibull survival distribution for experimental arm |
nu1.t |
scale parameter of a weibull survival distribution for control arm |
design2 |
a list containing all the above parameters for two-arm design |
seed |
random seed |
nsim |
number of simulations |
Value
This function will return the simulated datasets and the according design settings
Examples
design2 <- NumEventsSub.TwoArm(N.0=100,N.1=100,l=6,gamma.c=1
,alpha0.t = 1,nu0.t=5,alpha1.t=2,nu1.t=4,s=5,m=4)
SimData.TwoArm(design2=design2,seed=1234,nsim=100)