Abstract Before-and-after safety studies are becoming more desirable in lieu of traditional cross-sectional studies in establishing crash modification factors, especially after the introduction of the first version of the Highway Safety Manual (2010). We present a simple method for estimating necessary sample sizes to obtain a target precision or power when the effect is represented as a proportional change in a Poisson rate. We also show that necessary sample sizes are not very different when full Bayesian models are implemented.
Planning sample sizes for before–after accident comparisons
Accident Analysis and Prevention ; 45 ; 826-827
2011-08-17
2 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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