Modeling the Microsurgical Learning Curve Using a Poisson-Based Statistical Approach for Skill Assessment
The MMA was found to be a robust and objective indicator of microsurgical proficiency. Its statistical validation using Poisson distribution theory supports its utility in skill assessment and training programs. Further studies involving multiple operators are warranted to confirm these findings.
Authors
- Luis Guillermo Villanueva (ORCID: https://orcid.org/0000-0003-3340-2930)
- Pablo Villanueva (ORCID: https://orcid.org/0000-0001-7227-4164)
- D. O’Keeffe (ORCID: https://orcid.org/0000-0001-7363-4731)
- Bárbara Magdalena Villanueva
- Adam F. Roche (ORCID: https://orcid.org/0009-0005-0808-5445)
- Taku Sugiyama (ORCID: https://orcid.org/0000-0003-0398-225X)
- Hector Ivan Rodriguez
Institutions
- National University of Salta (AR)
- Royal College of Surgeons in Ireland (IE)
- Sapporo University (JP)
- Hokkaido University (JP)
- Universidad de Buenos Aires (AR)
- Hokkaido University Hospital (JP)
Publication Details
- Journal
- Cureus
- Published
- 2025-04-25
- DOI
- https://doi.org/10.7759/cureus.83009
- Citations
- 1
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 2.01