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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

499

Version

3.0.2

License

GPL (>= 3)

Maintainer

Ralf-Dieter Hilgers

Last Published

September 18th, 2023

Functions in randomizeR (3.0.2)

Representing Accelerated Biased Coin Design

Sampling algorithm for abcd

Function returning the sample size slot of an S4 object

Calculates the Type I error for different randomization sequences from a randomization procedure for a group sequential design

$,desFunc-method

Method defining the $ operator for the desFunc class

Function returning the target value slot of an S4 object

$,desScores-method

Method defining the $ operator for the assessment class

Creates stratified sequences Compares stratified sequences to their respective non-stratified version under the influence of bias.

Representing Bayesian Biased Coin Design

GSD_allocation_seq

Calculates the Type I error for a randomization sequence in a group sequential design

$,randPar-method

Method defining the $ operator for the randPar class

Sampling algorithm for bbcd

$,randSeq-method

Method defining the $ operator for the randSeq class

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

Assessing randomization sequences

Combined bias criterion

Desirability functions within the scope of clinical trials

Comparison of randomization procedures

Representing chronological bias

$,derFunc-method

Method defining the $ operator for the derFunc class

Function returning the adjusting parameter a slot of an S4 object

Sampling algorithm for BSD

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

$,assessment-method

Method defining the $ operator for the assessment class

Method defining the $ operator for the issue class

$,probUnDesirable-method

Method defining the $ operator for the probUnDesirable class

Query to create a randomization sequence of a particular randomization procedure

Function returning the block slot of an S4 object

Representing Derringer-Suich desirability functions

Representing any randomization procedure

Representation of exponentially distributed endpoints

Function returning the coin slot of an S4 object

Representing Hadamard Randomization

Assessment criteria for clinical trials

Applying desirability functions on issues of individual randomization sequences

Rejection probability for one sequence in the presence of selection bias

Distribution function of the non central F-distribution

Representing Big Stick Design

Representing Efron's Biased Coin Design

Representing Chen's Design

generateRandomSequences

Generate random sequences

Calculate hat matrix

$,comparison-method

Method defining the $ operator for the assessment class

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

getProbabilities

Theoretical probability for randomization sequences

getRandomizationList

Accessor function for the randomization list

Design of a randomization procedure

Biasing Policy for Avoiding the Placebo Treatment

Representing Chen's Design

An S4 Class for the representation of randomization sequences

Representing the allocation imbalance

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

Saving an assess object

Representing Random Allocation Rule

makeBiasedExpectation

Calculate Expectation vector

Representing Generalized Biased Coin Design

$,endpoint-method

Method defining the $ operator for the endpoint class

Generic plotting of comparison objects

Function returning the allocation ratio slot of an S4 object

Method returning the rate parameter of an expEndp S4 object

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

desScore plotting

randomizeR-package

Randomization for Clinical Trials

Sampling algorithm for gbcd

Representing Maximal Procedure

Check function for occurrence of all treatment groups in the sequence

logRankRejectionProb

Approximation of the biased type I error probability (resp. power) of the log rank test

Representing Truncated Binomal Design

getDistributionPars

Get distribution parameters of a randomization list

Function returning the MTI slot of an S4 object

Get type of an object

Evaluation plotting

$,evaluation-method

Method defining the $ operator for the evaluation class

makeDesignMatrix

Get expectations of a randomization list

Representing Wei's Urn Design

Representing the expected number of correct guesses

Overview over the parameters used in the randomizeR package

Representing Permuted Block Randomization

Saving a randomization lists

Representing Complete Randomization

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

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

Matrix of the guesses of the investigator

Method returning the shape parameter of an survEndp S4 object

Sequence plotting

Function returning the adjusting parameter rho slot of an S4 object

generateAllSequences

Complete set of randomization sequences

Type of Desirability function

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

Function returning the standard deviation slot of a normEndp S4 object

Representation of normally distributed endpoints

Function returning the method of an S4 object

Representing Randomized Permuted Block Randomization

Computing the probability of having desirability scores of zero

Function returning the block slot of an S4 object

Method returning the scale parameter of an survEndp S4 object

Representing Randomized Truncated Binomial Design

Representing selection bias

Access the expectation value slot of a normEndp S4 object

Representing the power

get_p_values_new

Calculating p values

Biasing Policy for a Group of Favored Treatments

Settings for randomization procedures

Function returning the allocation seed slot of an object

Summary of assessments of a randomization procedure

Representation of survival endpoints

Function returning the number of trial arms slot of an S4 object