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Prediction of Injury and Fatality Probability

Univariate logistic regression was performed with respect to the explanatory variables, in part as a first step to determine which variables to enter into multivariate analysis and secondly to explore which variables are predictors of the dependent variables. As quite many factors become significant (p-value 0.05) in univariate analysis, only models for ISS and for fatalities are presented and discussed here. [Pg.104]

The odds ratios in the tables presented below refer to an additional risk associated with a significant odds ratio 1 (or decrease associated with an odds ratio 1). [Pg.105]

Age of the pedestrian (jped) is associated with a higher risk (unadjusted odds ratios between 1.863 and 2.489) [19-21], BMI is also associated with an increase in risk (unadjusted odds ratios between 1.467 and 1.835). [Pg.105]

Interpretation of the effects evoked by the explanatory variables on injury or mortality involves hypotheses about injury causation as well as the expected trend. Since impact speed is a dominant determinant for injury and fatality, any explanatory variable that is associated with impact speed could act as a surrogate for impact speed and thus as a confounder, i.e., be significant without having a causal relationship or mask the original effect size due to the association with impact speed. Potential associations were tested using Pearson and Spearman correlations for continuous variables and t-tests and Mann-Whitney-Tests for non-continuous (binary) variables. P-values refer to the hypotheses of a correlation (for continuous variables) or to differences between the two groups (for binary variables). [Pg.105]

Variable Symbol N nlSS Scaling p-value Unadjusted 95 % Cl AlC BIC [Pg.106]


Prediction of Injury and Fatality Probability 53. 3 Multivariate Models Based on PCDS... [Pg.123]

There are a few models in the literature which are based on GIDAS and predict the probability for a particular injury level or for fatalities. The coefficients of the models are not directly comparable, as each model uses a different data set and probably a different scaling for the explanatory factors. The first two models for MAIS2+ and MAIS5+ are based on impact speed. They are not included explicitly in the publication, but only given as diagram [4]. [Pg.121]


See other pages where Prediction of Injury and Fatality Probability is mentioned: [Pg.104]    [Pg.105]    [Pg.111]    [Pg.117]    [Pg.119]    [Pg.121]    [Pg.125]    [Pg.127]    [Pg.129]    [Pg.104]    [Pg.105]    [Pg.111]    [Pg.117]    [Pg.119]    [Pg.121]    [Pg.125]    [Pg.127]    [Pg.129]    [Pg.420]    [Pg.41]    [Pg.56]   


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