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 "AdjBCD" will be created.

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.


[Package carat version 2.2.1 Index]