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Patrick Coyle

Temple University



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Chen Chen

Temple University



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Nooreen Dabbish

Temple University



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416 – Data Challenge 2016 II

Analysis of Reported Drowsy Driving Exploring Subpopulation Risk with Weighted Contingency Table Tools

Sponsor: Government Statistics Section
Keywords: ROC, survey sampling, sleep, human factors, fatality, circadian behavior, circadian behavior

Patrick Coyle

Temple University

Chen Chen

Temple University

Nooreen Dabbish

Temple University

The incidence of driving accidents due to human error is an important topic in the field of public health research. In particular, accidents due to drowsy driving are of concern to the whole population and might be considered preventable. Our study investigates the 1,029 self-reported drowsy driving accidents in 2014 as recorded in the General Estimates System (GES) from the Department of Transportation. This study seeks to understand the relationship between drowsy driving and conditional risk of fatality among different subpopulations and how this relationship changes depending on the time of day. We are exploring these interactions using recent developments in survey-weighted ROC analysis. By doing so, we hope to offer employers and government agencies insight into what can be done to reduce the rate of fatalities, especially those involving drowsy driving accidents.

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