AdjBCD.ui {carat} | R Documentation |
Command-line User Interface Using Covariate-adjusted Biased Coin Design
Description
A call to the user-interface function for allocation of patients to one of two treatments, using covariate-adjusted biased coin design, as proposed by Baldi Antognini A, Zagoraiou M (2011) <doi:10.1093/biomet/asr021>.
Usage
AdjBCD.ui(path, folder = "AdjBCD")
Arguments
path |
the path in which a folder used to store variables will be created. |
folder |
name of the folder. If it is the default, a folder named |
Details
See AdjBCD
.
Value
It returns an object of class
"carseq"
.
The function print
is used to obtain results. The generic accessor functions assignment
, covariate
, cov_num
, cov_profile
and others extract various useful features of the value returned by AdjBCD.ui
.
Note
This function provides a command-line user interface, and users should follow the prompts to enter data including covariates as well as levels for each covariate, design parameter a
and the covariate profile of the new patient.
References
Baldi Antognini A, Zagoraiou M. The covariate-adaptive biased coin design for balancing clinical trials in the presence of prognostic factors[J]. Biometrika, 2011, 98(3): 519-535.
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.
See Also
See AdjBCD
for allocating patients with complete covariate data; See AdjBCD.sim
for allocating patients with covariate data generating mechanism.