Open AccessFundamentals of Clinical Prediction Modeling for the Neurosurgeon
Author(s) -
Hendrik-Jan Mijderwijk,
Ewout W. Steyerberg,
HansJakob Steiger,
Igor Fischer,
Marcel A. Kamp
Publication year - 2019
Publication title -
neurosurgery/neurosurgery online
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.485
H-Index - 34
eISSN - 1081-1281
pISSN - 0148-396X
DOI - 10.1093/neuros/nyz282
Subject(s) - medicine , neurosurgery , outcome (game theory) , clinical practice , medical physics , predictive modelling , intensive care medicine , statistical model , machine learning , surgery , computer science , family medicine , mathematics , mathematical economics
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.