randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials

Randomization in clinical trials is the key design technique to ensure the comparability of treatment groups. Although there exist a large number of software products which assist the researcher to implement randomization, no tool which would cover a wide range of procedures and allow the comparativ...

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Main Authors: Diane Uschner, David Schindler, Ralf-Dieter Hilgers, Nicole Heussen
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2018-06-01
Series:Journal of Statistical Software
Subjects:
R
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2729
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spelling doaj-0ed08035724d46779e8242c784604df22020-11-24T21:20:16ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602018-06-0185112210.18637/jss.v085.i081226randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical TrialsDiane UschnerDavid SchindlerRalf-Dieter HilgersNicole HeussenRandomization in clinical trials is the key design technique to ensure the comparability of treatment groups. Although there exist a large number of software products which assist the researcher to implement randomization, no tool which would cover a wide range of procedures and allow the comparative evaluation of the procedures under practical restrictions has been proposed in the literature so far. The R package randomizeR addresses this need. The paper includes a detailed description of the randomizeR package that serves as a tutorial for the generation of randomization sequences and the assessment of randomization procedures.https://www.jstatsoft.org/index.php/jss/article/view/2729clinical trialrestricted randomizationselection biaschronological biasR
collection DOAJ
language English
format Article
sources DOAJ
author Diane Uschner
David Schindler
Ralf-Dieter Hilgers
Nicole Heussen
spellingShingle Diane Uschner
David Schindler
Ralf-Dieter Hilgers
Nicole Heussen
randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials
Journal of Statistical Software
clinical trial
restricted randomization
selection bias
chronological bias
R
author_facet Diane Uschner
David Schindler
Ralf-Dieter Hilgers
Nicole Heussen
author_sort Diane Uschner
title randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials
title_short randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials
title_full randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials
title_fullStr randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials
title_full_unstemmed randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials
title_sort randomizer: an r package for the assessment and implementation of randomization in clinical trials
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2018-06-01
description Randomization in clinical trials is the key design technique to ensure the comparability of treatment groups. Although there exist a large number of software products which assist the researcher to implement randomization, no tool which would cover a wide range of procedures and allow the comparative evaluation of the procedures under practical restrictions has been proposed in the literature so far. The R package randomizeR addresses this need. The paper includes a detailed description of the randomizeR package that serves as a tutorial for the generation of randomization sequences and the assessment of randomization procedures.
topic clinical trial
restricted randomization
selection bias
chronological bias
R
url https://www.jstatsoft.org/index.php/jss/article/view/2729
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