StrPBR.sim {carat} | R Documentation |
Allocates patients to one of two treatments using stratified randomization proposed by Zelen M (1974) <doi:10.1016/0021-9681(74)90015-0>, by simulating covariates-profile on assumption of independence between covariates and levels within each covariate.
StrPBR.sim(n = 1000, cov_num = 2, level_num = c(2, 2),
pr = rep(0.5, 4), bsize = 4)
n |
the number of patients. The default is |
cov_num |
the number of covariates. The default is |
level_num |
a vector of level numbers for each covariate. Hence the length of |
pr |
a vector of probabilities. Under the assumption of independence between covariates, |
bsize |
the block size for the stratified randomization. It is required to be a multiple of 2. The default is |
See StrPBR
.
See StrPBR
.
Ma W, Ye X, Tu F, Hu F. carat: Covariate-Adaptive Randomization for Clinical Trials[J]. Journal of Statistical Software, 2023, 107(2): 1-47.
Zelen M. The randomization and stratification of patients to clinical trials[J]. Journal of chronic diseases, 1974, 27(7): 365-375.
See StrPBR
for allocating patients with complete covariate data; See StrPBR.ui
for the command-line user interface.