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covadap (version 1.0.1)

Implement Covariate-Adaptive Randomization

Description

Implementing seven Covariate-Adaptive Randomization to assign patients to two treatments. Three of these procedures can also accommodate quantitative and mixed covariates. Given a set of covariates, the user can generate a single sequence of allocations or replicate the design multiple times by simulating the patients' covariate profiles. At the end, an extensive assessment of the performance of the randomization procedures is provided, calculating several imbalance measures. See Baldi Antognini A, Frieri R, Zagoraiou M and Novelli M (2022) for details.

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Version

Install

install.packages('covadap')

Monthly Downloads

219

Version

1.0.1

License

GPL (>= 3)

Maintainer

Rosamarie Frieri

Last Published

December 6th, 2023

Functions in covadap (1.0.1)

BSD

Big Stick Design
DABCD

\(D_A\)-optimum biased coin design
BSD.sim

Simulations of the Big Stick Design
CABCD

Covariate-Adjusted Biased Coin Design
ECADE.sim

Simulations of the Efficient Covariate-Adaptive Design
HuHu.sim

Simulations of the Covariate-Adaptive randomization by Hu and Hu
HuHu

Covariate-Adaptive randomization by Hu and Hu
ECADE

Efficient Covariate-Adaptive Design
CABCD.sim

Simulations of the Covariate-Adjusted Biased Coin Design
DABCD.sim

Simulations of the \(D_A\)-optimum biased coin design
covadap-package

covadap: Implements Covariate-Adaptive Randomization procedures
covadap-internal

Internal covadap Functions
Pocock and Simon design

Pocock and Simon's minimization method
summary_covadap

Summary of Covariate-Adaptive Designs
Pocock and Simon design simulations

Simulations of the Pocock and Simon's minimization method
KER

Covariate-Adaptive randomization by Ma and Hu
KER.sim

Simulations of the Covariate-Adaptive randomization by Ma and Hu