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.
PMID: 32665250
Links
Repository
https://github.com/agapiospanos/TableOne