| simulation_main {RARfreq} | R Documentation |
Doubly Adaptive Biased Coin Design with Simulated Data (Binary Responses)
Description
Allocates patients to one of treatments based on the doubly adaptive biased coin design with simulated data.
Usage
simulation_main(n, nstart, p, nstop, replication, group_allo, rho_func_index,
rho_func, alpha, sig_level)
Arguments
n |
The number of patients. The default is 500. |
nstart |
Burn-in sample size of each arm. The default is n/20. |
p |
A vector containing response probabilities for each treatment arm (where the first element refers to the control arm). The length of p should correspond to the number of arms. The default is p = c(0.3, 0.3, 0.6). |
nstop |
A vector of stopping cap of sample size for each arm. The trial stops if at least one arm reaches the corresponding cap. The default is NULL, which means no cap. |
replication |
the number of replications of the simulation. The default is 100. |
group_allo |
A number or a vector of group size(s) for allocation. If a number is given, the allocation ratios will be updated for each batch of group_allo samples. If a vector is given, the allocation ratios will be updated sequentially in group according to the vector. Any value greater than n will be omitted. The default is group_allo=1, which is the same as group_allo = seq(nstart*length(p)+1,n). |
rho_func_index |
Supply a number of 1, 2 or 3 indicting the allocation function to use; default to 3. * 1 = Wei's allocation (Urn allocation); * 2 = Neyman allocation; * 3 (default) = Rosenberger allocation; |
rho_func |
Supply a user-specified allocation function of S_RK when rho_func_index is NULL. Default is NULL. |
alpha |
Supply a number indicating the subscripts of the probability function. The default is 2. |
sig_level |
Significant level (one-sided). The default is 0.05. |
Details
'simulation_main' can sample response and adaptively randomize subjects group by group.
Value
allocation_mean - Average of allocation in each arm based on 'replication' repeats
allocation_sd - Standard deviation of allocation in each arm based on 'replication' repeats
SS_mean - Average of sample size in each arm based on 'replication' repeats
SS_sd - Standard deviation of sample size in each arm based on 'replication' repeats
power_chisq - Average power of chi-square test.
power_oneside - Average power for each of the k-th arm to perform one-sided test against H0: p_1>p_k without multiplicity adjustment
p_estimate_mean - Average of estimated success rate p
p_estimate_sd - Standard deviation of estimated success rate p
Examples
## Default method
simulation_main(n = 500,
nstart = round(500 / 20),
p = c(0.3, 0.3, 0.6),
nstop=c(500,500,500),
replication = 5,
group_allo = 1,
rho_func_index = 3,
alpha = 2,
sig_level = 0.05
)