TableOne

TableOne summarizes baseline characteristics and comparative statistics across treatment groups or exposures in clinical trials and observational studies to support comparative effectiveness research.


Key Features:

  • Descriptive Statistics Generation: Generates descriptive statistics for each study group, providing summary measures for baseline characteristics and outcomes.
  • Statistical Testing: Implements statistical tests including p-values and 95% confidence intervals to assess differences across groups.
  • Visualization Capabilities: Produces interactive plots using the plotly library for visualization of distributions and group comparisons.
  • Implementations: Available as an R package and a web application for deployment in analysis workflows.
  • Computations in R: Performs all computations within the R environment to integrate with R-based data analysis workflows.

Scientific Applications:

  • Comparative Effectiveness Research: Summarizes baseline characteristics across treatment groups or exposures to identify differences and support comparative analyses.
  • Clinical Trial and Observational Study Reporting: Produces descriptive tables and interactive visualizations for presenting baseline characteristics and group comparisons in clinical research.

Methodology:

Implements an R package that automates summarization by computing descriptive statistics and statistical tests (p-values and 95% CIs) and generates interactive visualizations using plotly, with all computations executed in R.

Topics

Details

Programming Languages:
R
Added:
1/18/2021
Last Updated:
2/25/2021

Operations

Publications

Panos A, Mavridis D. TableOne: an online web application and R package for summarising and visualising data. Evidence Based Mental Health. 2020;23(3):127-130. doi:10.1136/ebmental-2020-300162. PMID:32665250. PMCID:PMC10231609.

Links