Comparison of two modeling approaches for the identification of predictors of complications in children with cerebral palsy following spine surgery
Potential predictors of the development of post-operative complications were identified in this study and while identified predictors were similar using stepwise and LASSO regression approaches, model discrimination was slightly improved with LASSO. Findings will be used to inform future research processes determining which variables to consider for developing risk prediction models.
Authors
- Rachel L. DiFazio (ORCID: https://orcid.org/0000-0001-8559-1281)
- Jay G. Berry (ORCID: https://orcid.org/0000-0003-3917-4465)
- Judith A. Vessey (ORCID: https://orcid.org/0000-0002-7251-0291)
- Daniel G. Whitney (ORCID: https://orcid.org/0000-0003-2132-1527)
- Tania D. Strout (ORCID: https://orcid.org/0000-0001-9053-1523)
Institutions
- Boston Children's Hospital (US)
- Maine Medical Center (US)
- University of Michigan (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1186/s12874-024-02360-w
- Citations
- 3
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- Gordon and Betty Moore Foundation