StatTag

StatTag links statistical analysis files and outputs to Microsoft Word to enable automated embedding and updating of analysis results within manuscripts.


Key Features:

  • Integration with Statistical Software: Connects Microsoft Word to R/R Markdown, Python, SAS, and Stata for exchanging code and results.
  • Dynamic Embedding of Outputs: Embeds selected statistical outputs from analysis files directly into Word documents.
  • Automatic Result Updating: Updates embedded results in the manuscript automatically when linked analysis files are modified.
  • Multi-program Support: Accommodates multiple statistical programs within a single document to combine outputs from different analysis environments.

Scientific Applications:

  • Reproducibility: Ensures that manuscript results remain synchronized with underlying analyses to support reproducible research.
  • Error Reduction: Reduces errors associated with manual transfer of statistical results into manuscripts.
  • Transparency in Review and Publication: Maintains a direct link between reported results and analysis code to support transparency during peer review and publication.
  • Documentation for Data Sharing: Provides a consistent method for documenting analytical procedures alongside reported results for data-sharing initiatives.

Methodology:

Links analysis files (R/R Markdown, SAS, Stata, or Python) with a Microsoft Word document, embeds selected outputs into the document, supports multiple programs within one document, and updates embedded results when the analysis files change.

Topics

Details

License:
MIT
Programming Languages:
C#, R, Python, SAS
Added:
1/18/2021
Last Updated:
2/24/2021

Operations

Publications

Welty LJ, Rasmussen LV, Baldridge AS, Whitley EW. Facilitating reproducible research through direct connection of data analysis with manuscript preparation: StatTag for connecting statistical software to Microsoft Word. JAMIA Open. 2020;3(3):342-358. doi:10.1093/jamiaopen/ooaa043. PMID:33215069. PMCID:PMC7660954.

PMID: 33215069
PMCID: PMC7660954
Funding: - National Institutes of Health’s National Center for Advancing Translational Sciences: UL1TR001422

Links