TY - JOUR PY - 1988// TI - Statistical methods for developing and distinguishing multinomial response models in the traumatological analysis of simulated automobile impacts JO - Proceedings of the International Research Council on the Biomechanics of Injury conference A1 - Haerdle, W. A1 - Kallieris, Dimitrios A1 - Mattern, Rainer SP - 47 EP - 62 VL - 16 IS - N2 - This report describes the statistical analysis of injury data involving two sets of data taken from simulated car-to-car side impact studies. Predictors include exogenous biomechanical factors as well as anthropometric variables, such as age. The response is measured on a scale of injury score and is therefore multinomial. It is the aim of a statistical analysis of such data to devise a multinomial response model that explains possible patterns of injury as a function of a suitable set of predictor variables. Several approaches for modelling such a multinomial response relationship have been proposed in the literature, among them the logistic and the weibull regression models. Two major questions in applying such models are as follows: what model is appropriate and how should different models be compared. Another problem is how the quality of a given model should be presented for varying sets of predictors. In this paper we discuss the first question by constructing a goodness-of-fit test based on bootstrapping flexible, non-parametric alternatives to a given parametric candidate model. Secondly, we present several graphical techniques that allow relatively simple comparisons of different models.

LA - en SN - 2235-3151 UR - http://dx.doi.org/ ID - ref1 ER -