rmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]

rmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]

We describe a web and standalone Shiny app for calculating the common, linear within-individual association for repeated assessments of paired measures with multiple individuals: repeated measures correlation (rmcorr). This tool makes rmcorr more widely accessible, providing a graphical interface fo...

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Autores principales: Laura R. Marusich, Jonathan Z. Bakdash
Formato: article
Lenguaje:EN
Publicado: F1000 Research Ltd 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/f1514eb4d7204d30985bd726567971ef
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spelling oai:doaj.org-article:f1514eb4d7204d30985bd726567971ef2021-11-15T15:26:11ZrmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]2046-140210.12688/f1000research.55027.2https://doaj.org/article/f1514eb4d7204d30985bd726567971ef2021-11-01T00:00:00Zhttps://f1000research.com/articles/10-697/v2https://doaj.org/toc/2046-1402We describe a web and standalone Shiny app for calculating the common, linear within-individual association for repeated assessments of paired measures with multiple individuals: repeated measures correlation (rmcorr). This tool makes rmcorr more widely accessible, providing a graphical interface for performing and visualizing the output of analysis with rmcorr. In contrast to rmcorr, most widely used correlation techniques assume paired data are independent. Incorrectly analyzing repeated measures data as independent will likely produce misleading results. Using aggregation or separate models to address the issue of independence may obscure meaningful patterns and will also tend to reduce statistical power. rmcorrShiny (repeated measures correlation Shiny) provides a simple and accessible solution for computing the repeated measures correlation. It is available at: https://lmarusich.shinyapps.io/shiny_rmcorr/.Laura R. MarusichJonathan Z. BakdashF1000 Research LtdarticleMedicineRScienceQENF1000Research, Vol 10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Laura R. Marusich
Jonathan Z. Bakdash
rmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]
description We describe a web and standalone Shiny app for calculating the common, linear within-individual association for repeated assessments of paired measures with multiple individuals: repeated measures correlation (rmcorr). This tool makes rmcorr more widely accessible, providing a graphical interface for performing and visualizing the output of analysis with rmcorr. In contrast to rmcorr, most widely used correlation techniques assume paired data are independent. Incorrectly analyzing repeated measures data as independent will likely produce misleading results. Using aggregation or separate models to address the issue of independence may obscure meaningful patterns and will also tend to reduce statistical power. rmcorrShiny (repeated measures correlation Shiny) provides a simple and accessible solution for computing the repeated measures correlation. It is available at: https://lmarusich.shinyapps.io/shiny_rmcorr/.
format article
author Laura R. Marusich
Jonathan Z. Bakdash
author_facet Laura R. Marusich
Jonathan Z. Bakdash
author_sort Laura R. Marusich
title rmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]
title_short rmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]
title_full rmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]
title_fullStr rmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]
title_full_unstemmed rmcorrShiny: A web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]
title_sort rmcorrshiny: a web and standalone application for repeated measures correlation [version 2; peer review: 2 approved]
publisher F1000 Research Ltd
publishDate 2021
url https://doaj.org/article/f1514eb4d7204d30985bd726567971ef
work_keys_str_mv AT laurarmarusich rmcorrshinyawebandstandaloneapplicationforrepeatedmeasurescorrelationversion2peerreview2approved
AT jonathanzbakdash rmcorrshinyawebandstandaloneapplicationforrepeatedmeasurescorrelationversion2peerreview2approved
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