Fundamentals of Clinical Prediction Modeling for the Neurosurgeon.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 31418042.
- Also identified by DOI 10.1093/neuros/nyz282.
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Abstract
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.
Medical subject headings
- Decision Support Techniques
- Evidence-Based Medicine
- Neurosurgeons
- Neurosurgery