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Survival in fatal road crashes body mass index, gender, and safety belt use.
Background: This study evaluated the associations of body mass index (BMI), gender, and use of safety belts with the survival of drivers involved in fatal road crashes. Method: The census data of all U.S. fatal crashes that did not involve pedestrians, bicyclists, or motorcyclists were examined for...
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...
New developments in UTMOST application to electronic stability control.
The Unified Tool for Mapping Opportunities for Safety Technology (UTMOST) is a model of crash data that incorporates the complex relationships among different vehicle and driver variables. It is designed to visualize the effect of multiple safety countermeasures on elements of the driver, vehicle,...