Longitudinal Modeling in Surgical Oncology Research: A Primer Examining Patient‐Reported Outcomes
This study demonstrates the utility of LME and GEE models in analyzing longitudinal PROs, providing insights into factors influencing breast reconstruction outcomes. Such models allow for practical analysis in surgical oncology, supporting the development of personalized patient care.
Authors
- Francis D. Graziano (ORCID: https://orcid.org/0000-0002-4746-1803)
- Ronnie Labib Shammas (ORCID: https://orcid.org/0000-0001-5468-8646)
- Lillian A. Boe (ORCID: https://orcid.org/0000-0001-6279-9987)
- Jonas A. Nelson (ORCID: https://orcid.org/0000-0003-0329-4422)
- Jacob Levy (ORCID: https://orcid.org/0000-0003-0187-8336)
- Uche Amakiri
Institutions
- Memorial Sloan Kettering Cancer Center (US)
Publication Details
- Journal
- Journal of Surgical Oncology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1002/jso.70006
- Primary Topic
- Breast Implant and Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00