Litcius/Paper detail

rmcorrShiny: A web and standalone application for repeated measures correlation

Laura R. Marusich, Jonathan Z. Bakdash

2021F1000Research67 citationsDOIOpen Access PDF

Abstract

<ns3:p>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/.</ns3:p>

Topics & Concepts

Repeated measures designCorrelationComputer scienceOpen peer reviewMeasure (data warehouse)Contrast (vision)Independence (probability theory)R packageData miningPlant biologyStatisticsArtificial intelligenceMathematicsBiologyBotanyComputational scienceGeometryTime Series Analysis and ForecastingData Visualization and AnalyticsMental Health Research Topics