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Abstract Details

Activity Number: 624
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #305728
Title: Statistical Assessment of Injury Diagnosis and Causation
Author(s): Heather Watson*+ and Duane Steffey
Companies: Exponent and Exponent
Address: 1273 Mills St., Menlo Park, CA, 94025, United States
Keywords: statistical assessment ; injury diagnosis ; causation

Questions may arise in evaluating injury diagnosis and causation that can be addressed with statistical assessment of several key factors and data sources. Accident reconstruction or biomechanical analyses can provide understanding of what happened or the mechanical forces in play, yet a statistical assessment of diagnosis can provide additional context for the probability of injury, the likelihood of post-incident evaluation, and the accuracy of diagnostic methods beyond understanding the dynamics of the incident. Various data sources are important to the assessment, such as engineering studies, administrative record systems, or medical studies. Two case studies are examined and assessed statistically to estimate the predictive value of a positive injury diagnosis and to evaluate injury causation.

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