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Type: Package
Title: Treatment Allocation in Clinical Trials by the Maximal Procedure
Version: 0.1-6
Date: 2024-01-15
Author: Ignacio López-de-Ullibarri [aut, cre]
Maintainer: Ignacio López-de-Ullibarri <ignacio.lopezdeullibarri@udc.es>
Description: Performs treatment allocation in two-arm clinical trials by the maximal procedure described by Berger et al. (2003) <doi:10.1002/sim.1538>. To that end, the algorithm provided by Salama et al. (2008) <doi:10.1002/sim.3014> is implemented.
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Imports: Rcpp (≥ 1.0.5)
LinkingTo: Rcpp, BH
Depends: R (≥ 4.1.0)
Suggests: knitr, pinp, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2024-01-15 11:08:53 UTC; ilu
Repository: CRAN
Date/Publication: 2024-01-15 12:20:02 UTC

Treatment Allocation in Clinical Trials by the Maximal Procedure

Description

Performs treatment allocation in two-arm clinical trials by the maximal procedure described by Berger et al. (2003) <doi:10.1002/sim.1538>. To that end, the algorithm provided by Salama et al. (2008) <doi:10.1002/sim.3014> is implemented.

Details

Index of help topics:

MPBoost-package         Treatment Allocation in Clinical Trials by the
                        Maximal Procedure
mpboost                 Compute Allocation Sequences by the Maximal
                        Procedure

Author(s)

Ignacio López-de-Ullibarri

Maintainer: Ignacio López-de-Ullibarri <ignacio.lopezdeullibarri@udc.es>

References

Berger, V. W., Ivanova, A., Knoll, M. D. (2003). Minimizing predictability while retaining balance through the use of less restrictive randomization procedures. Statistics in Medicine, 22: 3017-3028. doi:10.1002/sim.1538.

Salama, I., Ivanova, A., Qaqish, B. (2008). Efficient generation of constrained block allocation sequences. Statistics in Medicine, 27, 1421-1428. doi:10.1002/sim.3014.


Compute Allocation Sequences by the Maximal Procedure

Description

This function produces a treatment assignment sequence generated according to the maximal procedure of Berger et al. (2003). It is an implementation of the algorithm proposed by Salama et al. (2008).

Usage

mpboost(N1, N2, MTI = 2L)

Arguments

N1

An integer specifying the size of the sample assigned to treatment 1.

N2

An integer specifying the size of the sample assigned to treatment 2.

MTI

An integer specifying the maximum tolerated imbalance (MTI). The default is 2.

Value

A vector of N1 1's and N2 2's representing the allocation sequence.

Note

See the package's vignette for more details and further examples of the use of the function.

References

Berger, V. W., Ivanova, A., Knoll, M. D. (2003). Minimizing predictability while retaining balance through the use of less restrictive randomization procedures. Statistics in Medicine, 22: 3017-3028. doi:10.1002/sim.1538.

Salama, I., Ivanova, A., Qaqish, B. (2008). Efficient generation of constrained block allocation sequences. Statistics in Medicine, 27, 1421-1428. doi:10.1002/sim.3014.

Examples

#\donttest{
mpboost(N1 = 25, N2 = 25, MTI = 3)
#}

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.