Alcohol and traffic safety: A sensitivity analysis of data from composite sources

M. A. Connolly; A. W. Kimball; L. H. Moulton

doi:10.1016/0001-4575(89)90046-8

Alcohol and traffic safety: A sensitivity analysis of data from composite sources

M. A. Connolly, A. W. Kimball, L. H. Moulton

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Risk factors associated with single-vehicle driver fatalities are explored in a sensitivity analysis of data from composite sources. Information on fatalities was taken from the Federal Accident Reporting System data base for 1976-1981. Characteristics of the driving population were given by the 1973 National Roadside Breath Testing Survey (Wolfe 1974). Using Bayes theorem and logistic regression analysis, the effect of changing driver characteristics on the probability of a fatality was explored. The method used is proposed for a case-control study in which the controls may not accurately represent the population from which the cases were drawn. Risk factors identified are generally in agreement with previous reports.

Original language	English (US)
Pages (from-to)	1-31
Number of pages	31
Journal	Accident Analysis and Prevention
Volume	21
Issue number	1
DOIs	https://doi.org/10.1016/0001-4575(89)90046-8
State	Published - Feb 1989
Externally published	Yes

ASJC Scopus subject areas

Human Factors and Ergonomics
Safety, Risk, Reliability and Quality
Public Health, Environmental and Occupational Health

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10.1016/0001-4575(89)90046-8

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AB - Risk factors associated with single-vehicle driver fatalities are explored in a sensitivity analysis of data from composite sources. Information on fatalities was taken from the Federal Accident Reporting System data base for 1976-1981. Characteristics of the driving population were given by the 1973 National Roadside Breath Testing Survey (Wolfe 1974). Using Bayes theorem and logistic regression analysis, the effect of changing driver characteristics on the probability of a fatality was explored. The method used is proposed for a case-control study in which the controls may not accurately represent the population from which the cases were drawn. Risk factors identified are generally in agreement with previous reports.

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Alcohol and traffic safety: A sensitivity analysis of data from composite sources

Abstract

ASJC Scopus subject areas

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