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TableOne: an online web application and R package for summarising and visualising data
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  1. Agapios Panos1,
  2. Dimitris Mavridis1,2
  1. 1 Department of Primary Education, University of Ioannina, Ioannina, Greece
  2. 2 Université Paris Descartes, Faculté de Médecine, Paris, France
  1. Correspondence to Professor Dimitris Mavridis, Department of Primary Education, University of Ioannina, Ioannina, Greece; dmavridi{at}uoi.gr

Abstract

Objective To develop an easy-to-use R package and web application that summarises baseline characteristics across different arms of a clinical trial or different exposures.

Methods Tables and figures are the efficient means of visualising, communicating and summarising data. It is common in comparative effectiveness research to provide a synopsis of characteristics and outcomes across the various treatment groups. The popularity of such a table has earned it a name and we simply call it the ‘TableOne’, as it is usually the first TableOne encounters looking at a published clinical trial. Such a table includes not only descriptive statistics for each group but also appropriate tests (p values and 95% CIs) for checking for differences across groups. We have developed an R package (called TableOne) (accessible through https://github.com/agapiospanos/TableOne) th

at quickly summarises and compares results across different groups. We have also extended it to an online web application that is easily handled by the researcher. All computations are done in R and plots are produced using the plotly library. We provide a detailed description on how to use the web application.

Results The application guides the user in a step by step format (wizard) and it is accessible through any browser in the following link (https://esm.uoi.gr/shiny/tableone/). Finally, appropriate interactive plots are provided for each variable.

Conclusions This easy-to-use web application will help researchers quickly and easily to visualise differences across treatment groups or different exposures.

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Footnotes

  • Contributors AP programmed the web application and R code under the guidance of DM. DM wrote the manuscript and AP made comments.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests No, there are no competing interests.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data are available in a public, open access repository (https://esm.uoi.gr/shiny/tableone/)

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