Nonlinear models of injury risk and implications in intervention targeting for thoracic injury mitigation
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
Journal
Volume
19
Issue
sup2
Pages
S103 - S108
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History