TrialPred.OneArm {ClinTrialPredict} | R Documentation |
Function for predicting one-arm clinical trial
Description
Function for predicting one-arm clinical trial
Usage
TrialPred.OneArm(
N = NULL,
d = NULL,
l = NULL,
gamma = NULL,
s = NULL,
m = NULL,
alpha = NULL,
nu = NULL,
design1 = NULL
)
Arguments
N |
Number of subjects plan to enrolled |
d |
expected number of events observed at time |
l |
observation time |
gamma |
parameter of the exponential distribution of censoring time |
s |
enrollment period |
m |
maximum follow-up for a single subject |
alpha |
shape parameter of weibull survival distribution |
nu |
scale parameter of weibull survival distribution |
design1 |
a list containing all the above parameters for one-arm design |
Value
This function returns a list containing all design parameters as the same with input parameters of this function. If any one of the parameters d
, N
, l
or gamma
is missing, it can be calculated based on the other parameters.
Examples
# Calculate the expected number of events in a one-arm clinical trial
TrialPred.OneArm(N=100,d=NULL,l=3,gamma=0.1,s=12,m=6,alpha=1,nu=20)
#Calculate the expected number of events using a list as input
design1 <- list(N=100,d=NULL,l=3,gamma=0.1,s=12,m=6,alpha=1,nu=20)
TrialPred.OneArm(design1=design1)
#Calculate the number of subjects enrolled
TrialPred.OneArm(N=NULL,d=8,l=15,gamma=0.1,s=12,m=6,alpha=1,nu=20)
#Calculate the observation time
TrialPred.OneArm(N=100,d=10,l=NULL,gamma=0.1,s=12,m=6,alpha=1,nu=20)
#Calculate the censoring parameter gamma
TrialPred.OneArm(N=100,d=10,l=10,gamma=NULL,s=12,m=6,alpha=1,nu=20)
[Package ClinTrialPredict version 0.0.4 Index]