| get_oc_3arm {frequentistSSD} | R Documentation | 
Generate operating characteristics for Two-Stage Screened Selection Design for Randomized Phase II Trials with Time-to-Event Endpoints for 3 arms
Description
Obtain the operating characteristics of Two-Stage Screened Selection Design for Randomized Phase II Trials with Time-to-Event Endpoints for 3 arms. The arguments for this function are from outputs of the functions of optimal() and sample_size_3arm()
Usage
get_oc_3arm(shape, m0, mA, hr2, hr3, frac, ta, tf, c1, c,
            diff, n, nsim, seed = 2483)
Arguments
shape | 
 the shape parameter of weibull distribution  | 
m0 | 
 the median survival time of historical data  | 
mA | 
 the median survival time of arm A  | 
hr2 | 
 the hazard ratio of arm B to arm A  | 
hr3 | 
 the hazard ratio of arm C to arm A  | 
frac | 
 the ratio of sample size in stage 1 compared to total sample size (e.g., n1/n)  | 
ta | 
 the accrual duration  | 
tf | 
 the follow-up duration  | 
c1 | 
 the critical value at stage 1  | 
c | 
 the critical value at stage 2  | 
diff | 
 the equivalence margin  | 
n | 
 the total sample size for each arm  | 
nsim | 
 the number of simulated trials  | 
seed | 
 the seed. The default value is seed = 2483  | 
Value
get_oc_3arm() returns: (1) n: total sample size for each arm (2) SSD.Arm.A: selection probability of Arm A (3) SSD.Arm.B: selection probability of Arm B (4) SSD.Arm.C: selection probability of Arm C (5) SSD.No.Arm: the probability of no arms selected (6) diff: the equivalence margin (7) Mean.N.Arm.A: the average number of patients allocated to Arm A (8) Mean.N.Arm.B: the average number of patients allocated to Arm B (9) Mean.N.Arm.C: the average number of patients allocated to Arm C
Author(s)
Chia-Wei Hsu, Haitao Pan, Jianrong Wu
References
Jianrong Wu, Haitao Pan, Chia-Wei Hsu (2021). "Two-Stage Screened Selection Designs for Randomized Phase II Trials with Time-to-Event Endpoints." Submitted
Examples
## c1, n, c they all come from optimal function. Details are shown as follows:
## Not run: optimal(shape = 1, m0 = 1, ms = 2, tf = 3,
                 ta = 24, tot_size = 21, dist = "WB")
| alpha | beta | n1 |    c1   |  n |   c   |   t1    | MTSL |   ESS   |   PS
|  0.05 | 0.14 | 16 | -0.0463 | 21 | 1.644 | 17.8248 |  27  | 18.3983 | 0.4815
## End(Not run)
get_oc_3arm(shape = 1, m0 = 1, mA = 2, hr2 = 1, hr3 = 0.6,
            frac = 16/21, ta = 24, tf = 3, c1 = -0.0463,
            c = 1.644, diff = 0, n = 21, nsim = 10000,
            seed = 2483)