STATISTICAL METHODS FOR DEVELOPING AND DISTINGUISHING MULTINOMIAL RESPONSE MODELS IN THE TRAUMATOLOGICAL ANALYSIS OF SIMULATED AUTOMOBILE IMPACTS ---PROCEEDINGS OF THE 1988 INTERNATIONAL CONFERENCE ON THE BIOMECHANICS OF IMPACTS, HELD IN BERGISCH-GLADBACH (FRG), 14-16 SEPTEMBER 1988.
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.(a) for the covering abstract of the conference see IRRD 817576.
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Corporate Authors:
IRCOBI (International Research Council on the Biokinetics of Impacts)
109 Avenue Salvador Allende
Bron CEDEX, France F-69675 -
Authors:
- Haerdle, W
- Kallieris, D
- Mattern, R
- Publication Date: 1988
Language
- English
Media Info
- Pagination: p. 47-62
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Serial:
- Publication of: IRCOBI-Secretariat
- Publisher: IRCOBI (International Research Council on the Biokinetics of Impacts)
Subject/Index Terms
- TRT Terms: Age; Anthropometry; Biophysics; Conferences; Crashes; Dummies; Evaluation and assessment; Forecasting; Injuries; Injury severity; Mathematical models; Methodology; Simulation; Statistics
- Subject Areas: Data and Information Technology; Safety and Human Factors;
Filing Info
- Accession Number: 00486894
- Record Type: Publication
- Source Agency: Transport and Road Research Laboratory (TRRL)
- Files: ITRD, TRIS
- Created Date: Sep 30 1989 12:00AM