Clinical prediction models in neurosurgery are increasingly reported. These models aim to provide an evidence-based approach to the estimation of the probability of a neurosurgical outcome by combining 2 or more prognostic variables. Model development and model reporting are often suboptimal. A basic understanding of the methodology of clinical prediction modeling is needed when interpreting these models. We address basic statistical background, 7 modeling steps, and requirements of these models such that they may fulfill their potential for major impact for our daily clinical practice and for future scientific work.

Additional Metadata
Keywords Aneurysmal subarachnoid hemorrhage, Clinical prediction, Model development, Neurosurgery, Outcome, Risk assessment
Persistent URL dx.doi.org/10.1093/neuros/nyz282, hdl.handle.net/1765/120507
Journal Neurosurgery
Citation
Mijderwijk, H, Steyerberg, E.W, Steiger, H.J., Fischer, I., & Kamp, M.A. (2019). Fundamentals of Clinical Prediction Modeling for the Neurosurgeon. Neurosurgery, 85(3), 302–311. doi:10.1093/neuros/nyz282