Nonlinear models of injury risk and implications in intervention targeting for thoracic injury mitigation

Volume: 19, Issue: sup2, Pages: S103 - S108
Published: Dec 28, 2018
Abstract
Objective: Field data analyses often use either parametric or nonparametric means to describe the relationship between risk and various predictor variables. This study sought to evaluate a hybrid approach using semiconstrained multivariate nonlinear spline-based analysis.Methods: Data were compiled from NASS-CDS years 1998–2015, selecting belted occupants age 16+ in collisions with a principal direction of force (PDOF) from 10 o’clock to 2...
Paper Details
Title
Nonlinear models of injury risk and implications in intervention targeting for thoracic injury mitigation
Published Date
Dec 28, 2018
Volume
19
Issue
sup2
Pages
S103 - S108
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