Evidence map›Paper›PMID 34621514›Full record

ArticleF1000Research2021

rmcorrShiny: A web and standalone application for repeated measures correlation.

Laura R Marusich, Jonathan Z Bakdash

Abstract read
In one paragraph

Article in F1000Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

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  11. Longitudinal changes in cardiovascular and sympathetic neural responses to static handgrip exercise throughout pregnancy.American journal of physiology. Regulatory, integrative and comparative physiology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Laura R MarusichU.S. Army Combat Capabilities Development Command Army Research Laboratory South at the University of Texas at Arlington, Arlington, TX, 76019, USA.
Jonathan Z BakdashU.S. Army Combat Capabilities Development Command Army Research Laboratory South at the University of Texas at Dallas, Richardson, TX, 75080, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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/.

Indexed as

Research DesignSoftwarecorrelationmultilevel modelingregressionrepeated measuresrepeated measures correlationShinystatisticswithin-participants

Identifiers

PMID34621514
PMCPMC8456376.2

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.