ProAE: an R package for graphical tools and standardized analysis of patient-reported outcomes and adverse events data
ProAE is a free and publicly available collection of standardized statistical analysis tools for PRO-CTCAE and other PRO data used in patient care and research. The ProAE package provides oncology researchers with an efficient and modern means to apply the published analysis approaches, including hypothesis testing, descriptive and inferential tables, and longitudinal graphics, without the need for costly software or licensing.
Authors
- Brenda Ginos
- Minji K. Lee (ORCID: https://orcid.org/0000-0002-1301-4319)
- Briant Fruth
- Matt Truman
- Blake Langlais
- Brie N. Noble (ORCID: https://orcid.org/0000-0001-5144-1154)
- Gina L. Mazza (ORCID: https://orcid.org/0000-0002-5305-6193)
- A. Dueck
- Lauren J. Rogak (ORCID: https://orcid.org/0000-0002-6415-1575)
- Ethan Basch (ORCID: https://orcid.org/0000-0003-3813-9318)
- Eric A. Meek
- Claire I. Yee
- Carolyn Mead-Harvey
- Allison M. Deal
- John Devin Peipert
- Gita Thanarajasingam
Institutions
- University of North Carolina at Chapel Hill (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
- UNC Lineberger Comprehensive Cancer Center
- University of Birmingham (GB)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-12-20
- DOI
- https://doi.org/10.1186/s12911-025-03320-0
- Primary Topic
- Cancer survivorship and care
- Type
- article
- Field-Weighted Citation Impact
- 0.00