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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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 |
work_keys_str_mv |
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1726003127635673088 |