A research titled  ‘Road casualties and enforcement: distributional assumptions of serially correlated count data’ co-authored by G.Yannis, C.Antoniou and E.Papadimitriou from the NTUA, was published in the Journal Traffic Injury and Prevention in September 2007. Road safety data are often in the form of counts and usually temporally correlated. Using the generalized linear model framework, four distributional assumptions are considered: normal, Poisson, quasi-Poisson and negative binomial, and appropriate models are estimated. Monthly casualty and police enforcement data from Greece for a period of six years (January 1998–December 2003) have been used.