title: Alcohol and traffic safety: a sensitivity analysis of data from composite sources.
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.
authors.affiliation: University of Michigan, Department of Biostatistics, Ann Arbor 48109.
authors.forename: M A
authors.initials: MA
authors.lastname: Connolly
authors.forename: A W
authors.initials: AW
authors.lastname: Kimball
authors.forename: L H
authors.initials: LH
authors.lastname: Moulton
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000435:Alcoholic Intoxication / Q000401:mortality*; D005260:Female; D006801:Humans; D008297:Male; D008433:Mathematics; D012044:Regression Analysis; D012307:Risk Factors; D012622:Seat Belts; D014481:United States