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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

3.0.1

License

GPL (>= 3)

Maintainer

Ralf-Dieter Hilgers

Last Published

March 19th, 2023

Functions in randomizeR (3.0.1)

$,desFunc-method

Method defining the $ operator for the desFunc class

Representing Bayesian Biased Coin Design

Sampling algorithm for bbcd

$,desScores-method

Method defining the $ operator for the assessment class

$,endpoint-method

Method defining the $ operator for the endpoint class

Representing Chen's Design

Representing Chen's Design

$,probUnDesirable-method

Method defining the $ operator for the probUnDesirable class

Method defining the $ operator for the issue class

Representing any randomization procedure

Desirability functions within the scope of clinical trials

Combined bias criterion

$,evaluation-method

Method defining the $ operator for the evaluation class

Comparison of randomization procedures

Representing Derringer-Suich desirability functions

Query to create a randomization sequence of a particular randomization procedure

Representing Complete Randomization

Representing Efron's Biased Coin Design

Sampling algorithm for gbcd

Representing Generalized Biased Coin Design

Function returning the coin slot of an S4 object

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

Representing the expected number of correct guesses

Representing chronological bias

$,assessment-method

Method defining the $ operator for the assessment class

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

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

$,randPar-method

Method defining the $ operator for the randPar class

Sampling algorithm for BSD

$,randSeq-method

Method defining the $ operator for the randSeq class

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

Applying desirability functions on issues of individual randomization sequences

Design of a randomization procedure

Get expectations of a randomization list

getDistributionPars

Get distribution parameters of a randomization list

Method returning the rate parameter of an expEndp S4 object

Representation of exponentially distributed endpoints

generateAllSequences

Complete set of randomization sequences

generateRandomSequences

Generate random sequences

Matrix of the guesses of the investigator

Type of Desirability function

Representing Hadamard Randomization

Biasing Policy for Avoiding the Placebo Treatment

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

getProbabilities

Theoretical probability for randomization sequences

getRandomizationList

Accessor function for the randomization list

Assessment criteria for clinical trials

Representing the allocation imbalance

Representing Maximal Procedure

get_p_values_new

Calculating p values

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

Distribution function of the non central F-distribution

Rejection probability for one sequence in the presence of selection bias

Access the expectation value slot of a normEndp S4 object

Biasing Policy for a Group of Favored Treatments

Representation of normally distributed endpoints

Function returning the method of an S4 object

makeDesignMatrix

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

Representing Permuted Block Randomization

Overview over the parameters used in the randomizeR package

An S4 Class for the representation of randomization sequences

Settings for randomization procedures

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

Saving an assess object

Saving a randomization lists

desScore plotting

Representing Randomized Truncated Binomial Design

Generic plotting of comparison objects

Representing Randomized Permuted Block Randomization

randomizeR-package

Randomization for Clinical Trials

Function returning the MTI slot of an S4 object

Representing Random Allocation Rule

Summary of assessments of a randomization procedure

Function returning the block slot of an S4 object

Representation of survival endpoints

Representing Truncated Binomal Design

Computing the probability of having desirability scores of zero

Function returning the allocation ratio slot of an S4 object

Representing Wei's Urn Design

Get type of an object

Check function for occurrence of all treatment groups in the sequence

Calculate hat matrix

logRankRejectionProb

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

Evaluation plotting

makeBiasedExpectation

Calculate Expectation vector

Function returning the adjusting parameter rho slot of an S4 object

Representing the power

Representing selection bias

Method returning the scale parameter of an survEndp S4 object

Function returning the allocation seed slot of an object

Sequence plotting

Method returning the shape parameter of an survEndp S4 object

Function returning the standard deviation slot of a normEndp S4 object

Function returning the adjusting parameter a slot of an S4 object

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

Function returning the sample size slot of an S4 object

Representing Accelerated Biased Coin Design

Function returning the target value slot of an S4 object

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

Simulate Group Sequential Design according to O'Brien and Fleming

Simulate Group Sequential Design according to Pocock

Sampling algorithm for abcd

$,derFunc-method

Method defining the $ operator for the derFunc class

$,comparison-method

Method defining the $ operator for the assessment class

Assessing randomization sequences

Function returning the block slot of an S4 object

Representing Big Stick Design