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Appropriate analysis of CIREN data using NASS-CDS to reduce bias in estimation of injury risk factors in passenger vehicle crashes.
The Crash Injury Research Engineering Network (CIREN) database contains detailed medical and crash information on a large number of severely injured occupants in motor vehicle crashes. CIREN's major limitation for stand-alone analyses to explore injury risk factors is that control subjects...
Identification and validation of a logistic regression model for predicting serious injuries associated with motor vehicle crashes
A multivariate logistic regression model, based upon National Automotive Sampling System Crashworthiness Data System (NASS-CDS) data for calendar years 1999-2008, was developed to predict the probability that a crash-involved vehicle will contain one or more occupants with serious or incapacitating...
Comparison of distributions of key predictor variables in CIREN and NASS-CDS cases meeting CIREN inclusion criteria
Objective: The Crash Injury Research and Engineering Network (CIREN) database contains data from occupants who are seriously injured in motor vehicle crashes. Because of the number of injured occupants and the level of detail in CIREN, a number of previous studies have attempted to use CIREN data...
Identifying priorities for improving rear seat occupant protection
This project helped to identify priorities for improving the safety of rear seat occupants through a literature review and NASS-CDS injury analysis. The literature review covers injury patterns of rear seat occupants, new safety technologies intended for the rear seat, studies of rear seat belt and...
Injury Facts
April 20, 2013 to April 20, 2014 Analyze the NASS-CDS database to document changes in MVC injury patterns.  This project resulted in the following publication: Injury patterns in motor-vehicle crashes in the United States: 1998-2014
Exploring Countermeasures to Reduce Fatalities with UTMOST
July 1, 2017 to June 30, 2018 The Unified Theory Mapping Opportunities for Safety Technology (UTMOST) tool was developed to allow visualization of the benefits of multiple safety countermeasures (Flannagan and Flannagan 2007). The initial version of UTMOST allowed visualization of the number of persons involved in crashes and...