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Split-register study : a new method for estimating the impact of rare exposure on population accident risk based on accident register data

  • The data situation for quantifying the proportion of accidents avoided by the introduction of active safety systems is incomplete, since there is generally no data available on the accidents avoided by the technology in question. In this paper, a split-register approach is suggested and compared with the classical case-control approach known from epidemiologic applications. Provided a set of assumptions hold, which can reasonably be made in such data situations, the split register approach allows inferences on the population accident risk. For both approaches the benefits of basing the analysis on the results of a logistic regression to adjust for confounding factors are outlined. The biasing effects of violating key assumptions are discussed and the split-register approach is demonstrated using the example of the active safety system ESP with data from the German in-depth accident study GIDAS.

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Author:U Grömping, U. Weimann, S. Menzler
Document Type:Conference Proceeding
Date of Publication (online):2012/08/01
Contributing corporation:Ford Werke <Köln>
Release Date:2012/08/01
Tag:Aktives Sicherheitssystem; Bevölkerung; Datenbank; Deutschland; Elektronik; Fahrstabilität; Inventar; Konferenz; Risiko; Unfall
Accident; Active safety system; Conference; Data bank; Electronics; Germany; Inventory; Population; Risk; Vehicle handling
Weitere beteiligte Körperschaft: Institut für Biometrie, Epidemiologie und Informationsverarbeitung <Hannover>
Institutes:Sonstige / Sonstige
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
collections:BASt-Beiträge / ITRD Sachgebiete / 80 Unfallforschung
BASt-Beiträge / Tagungen / International Conference on ESAR / 1st International Conference on ESAR

$Rev: 13581 $