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randomizeR

The R package randomizeR is an easy to use tool for the randomization of clinical trials. Its aim is to provide sound scientific evidence for the choice of a randomization procedure, on the basis of well-founded criteria. It includes functions for generating randomization sequences from various randomization procedures as well as various issues for the assessment of the randomization procedures.

Installation

You can install randomizeR from CRAN:

install.packages('randomizeR', dependencies = TRUE)

Motivation

Until now, the choice of a randomization procedure did not follow strict scientific principles. If the choice of a randomization procedure does not account for possible problems during the conduct of a clinical trial, the estimation of the treatment effect can be biased. randomizeR models the possible problems that occur in the analysis of a clinical trial, and provides functions to assess randomization procedures according to the issues.

Usage

library(randomizeR)
?randomizeR
vignette("comparison-example")

cg <- corGuess("CS")
rar <- genSeq(rarPar(6),10)
assess(rar, cg)

License

The package is free and open source software, licensed under GPL 3.

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Version

Install

install.packages('randomizeR')

Monthly Downloads

397

Version

1.4.2

License

GPL (>= 3)

Maintainer

Diane Uschner

Last Published

June 15th, 2018

Functions in randomizeR (1.4.2)

Function returning the sample size slot of an S4 object

Function returning the block slot of an S4 object

Representing Chen's Design

Representing Chen's Design

Method defining the $ operator for the issue class

$,probUnDesirable-method

Method defining the $ operator for the probUnDesirable class

$,randPar-method

Method defining the $ operator for the randPar class

Distribution function of the non central F-distribution

Representing chronological bias

Rejection probability for one sequence in the presence of selection bias

$,randSeq-method

Method defining the $ operator for the randSeq class

Get expectations of a randomization list

Representing Generalized Biased Coin Design

Evaluation of several randomization procedures with respect to certain desirability functions applied to specified issues.

Representing Complete Randomization

getProbabilities

Theoretical probability for randomization sequences

Query to create a randomization sequence of a particular randomization procedure

Representing any randomization procedure

Calculation of the NCPs of each randomization sequence for the doubly noncentral t-distribution

Parameters generic

Sampling algorithm for gbcd

generateAllSequences

Complete set of randomization sequences

Function returning the MTI slot of an S4 object

Settings for randomization procedures

Biasing Policy for Avoiding the Placebo Treatment

generateRandomSequences

Generate random sequences

Access the expectation value slot of a normEndp S4 object

An S4 Class for the representation of randomization sequences

Generic plotting of comparison objects

Function returning the allocation seed slot of an object

Representing Hadamard Randomization

Representing Permuted Block Randomization

Comparison of randomization procedures

Representing the allocation imbalance

Check function for occurance of all treatment groups in the sequence

Sequence plotting

Representing the expected number of correct guesses

Assessment criteria for clinical trials

Representing Derringer-Suich desirability functions

$,desScores-method

Method defining the $ operator for the assessemnt class

Computing the probability of having desirabilty scores of zero

$,endpoint-method

Method defining the $ operator for the endpoint class

makeDesignMatrix

randomizeR-package

Randomization for Clinical Trials

Calculate hat matrix

makeBiasedExpectation

Calculate Expectation vector

desScore plotting

Representing selection bias

Matrix of the guesses of the investigator

Evaluation plotting

Desirability functions within the scope of clinical trials

Type of Desirability function

Representing Randomized Permuted Block Randomization

Representing Randomized Truncated Binomial Design

Representing Wei's Urn Design

Get type of an object

Combined additive bias criterion

Function returning the coin slot of an S4 object

Applying desirability functions on issues of individual randomization sequences

Rejection probability in case of selection bias in multi-arm trials

Approximation of the distribution function of the doubly noncentral t-distribution

Design of a randomization procedure

Calculate first non centrality parameter of the doubly non central F-distribution

Calculate second non centrality parameter of the doubly non central F-distribution

Randomization paramters

Function returning the block slot of an S4 object

Function returning the adjusting parameter rho slot of an S4 object

Function returning the allocation ratio slot of an S4 object

Summary of assessments of a randomization procedure

Calculation of the biased type-one-error (resp. power) of Student`s t-test

Representing Truncated Binomal Design

Representing Random Allocation Rule

Representing the power

getRandomizationList

Accessor function for the randomization list

Representing Efron's Biased Coin Design

Function returning the standard deviation slot of a normEndp S4 object

Biasing Policy for a Group of Favoured Treatments

Representing Maximal Procedure

Function returning the allocation ratio slot of an S4 object

Representation of normally distributed endpoints

Overview over the parameters used in the randomizeR package

Saving a randomization lists

Saving an assess object

Function returning the sample size slot of an S4 object

Sampling algorithm for abcd

Assessing randomization sequences

Representing Bayesian Biased Coin Design

Representing Accelerated Biased Coin Design

$,derFunc-method

Method defining the $ operator for the derFunc class

Function returning the adjusting parameter a slot of an S4 object

$,evaluation-method

Method defining the $ operator for the evaluation class

$,desFunc-method

Method defining the $ operator for the desFunc class

$,comparison-method

Method defining the $ operator for the assessemnt class

Representing Big Stick Design

Sampling algorithm for bbcd

Function returning the total sample size slot of an S4 object

$,assessment-method

Method defining the $ operator for the assessemnt class

Sampling algorithm for BSD