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Updated: Mar 19, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Predictive modeling of complications
Joseph A Osorio1, Justin K Scheer2, Christopher P Ames3
1Department of Neurological Surgery, University of California, 505 Parnassus Ave. Rm. M779, San Francisco, CA, 94143-0112, USA. osorioj@neurosurg.ucsf.edu.
Abstract:
Predictive analytic algorithms are designed to identify patterns in the data that allow for accurate predictions without the need for a hypothesis. Therefore, predictive modeling can provide detailed and patient-specific information that can be readily applied when discussing the risks of surgery with a patient. There are few studies using predictive modeling techniques in the adult spine surgery literature. These types of studies represent the beginning of the use of predictive analytics in spine surgery outcomes. We will discuss the advancements in the field of spine surgery with respect to predictive analytics, the controversies surrounding the technique, and the future directions.
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