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288 Appendix E: Chapter 7 Supplemental Material E.1 Oblique Crash Initial Models Table E-1. Parameters for the MDV initial oblique logistic regression oblique model used to predict occupant MAIS2+F injuries. ** indicates statistical significance (p-value < 0.05). Predictor Variable Parameter Coefficient Std. Error p-Value --- β0, Intercept -2.870 1.218 0.022** Resultant Delta-v β1, Delta-v (m/s) 0.347 0.105 0.002** Belt Status β2, Belted -2.101 0.726 0.005** Sex β3, Male 1.013 0.675 0.139 Age β4, Age ⥠65 0.628 0.886 0.481 BMI β5, BMI ⥠30 kg/m2 -0.070 0.763 0.927 Seating Location β6, Driver Seat 1.007 0.983 0.310 GAD β7, Side Damage -2.575 0.760 0.001** Vehicle Type β8, Passenger Car -0.957 0.560 0.093 Table E-2. Parameters for the OIV initial oblique logistic regression oblique model used to predict occupant MAIS2+F injuries. ** indicates statistical significance (p-value < 0.05). Predictor Variable Parameter Coefficient Std. Error p-Value --- β0, Intercept -3.779 1.379 0.008** Resultant OIV β1, OIV (m/s) 0.477 0.151 0.002** Belt Status β2, Belted -1.848 0.695 0.010** Sex β3, Male 0.986 0.668 0.145 Age β4, Age ⥠65 0.814 0.953 0.396 BMI β5, BMI ⥠30 kg/m2 -0.132 0.787 0.868 Seating Location β6, Driver Seat 1.086 0.977 0.271 GAD β7, Side Damage -2.644 0.779 0.001** Vehicle Type β8, Passenger Car -1.143 0.523 0.033** Table E-3. Parameters for the OLC initial oblique logistic regression oblique model used to predict occupant MAIS2+F injuries. ** indicates statistical significance (p-value < 0.05). Predictor Variable Parameter Coefficient Std. Error p-Value --- β0, Intercept -1.340 1.158 0.252 Resultant OLC β1, OLC (g) 0.123 0.068 0.076 Belt Status β2, Belted -1.827 0.688 0.010** Sex β3, Male 1.123 0.803 0.167 Age β4, Age ⥠65 0.272 0.859 0.752 BMI β5, BMI ⥠30 kg/m2 0.119 0.697 0.865 Seating Location β6, Driver Seat 0.705 0.919 0.446 GAD β7, Side Damage -2.218 0.804 0.008** Vehicle Type β8, Passenger Car -0.690 0.578 0.238 Table E-4. Parameters for the ASI initial oblique logistic regression oblique model used to predict occupant MAIS2+F injuries. ** indicates statistical significance (p-value < 0.05).
289 Predictor Variable Parameter Coefficient Std. Error p-Value --- β0, Intercept -2.489 1.264 0.054 Resultant ASI β1, ASI 1.874 0.648 0.005** Belt Status β2, Belted -1.7364 0.675 0.013** Sex β3, Male 0.990 0.759 0.197 Age β4, Age ⥠65 0.302 0.809 0.711 BMI β5, BMI ⥠30 kg/m2 0.053 0.708 0.941 Seating Location β6, Driver Seat 0.796 0.948 0.404 GAD β7, Side Damage -1.841 0.858 0.036** Vehicle Type β8, Passenger Car -0.872 0.566 0.128 Table E-5. Parameters for the VPI initial oblique logistic regression oblique model used to predict occupant MAIS2+F injuries. ** indicates statistical significance (p-value < 0.05). Predictor Variable Parameter Coefficient Std. Error p-Value --- β0, Intercept -2.916 1.270 0.025** Resultant VPI β1, VPI (m/s2) 0.009 0.003 0.003** Belt Status β2, Belted -1.711 0.671 0.014** Sex β3, Male 0.344 0.837 0.226 Age β4, Age ⥠65 0.908 0.742 0.683 BMI β5, BMI ⥠30 kg/m2 -0.062 0.772 0.936 Seating Location β6, Driver Seat 0.841 0.944 0.377 GAD β7, Side Damage -1.937 0.799 0.018** Vehicle Type β8, Passenger Car -0.916 0.575 0.116
