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. 2008;52:155–164.

Table 1.

Data for all risk curve calculations of NASS delta-V data corrected for bias and scatter error. The ID Code describes the subsample of the 1997 – 2006 NASS dataset. The first character indicates belt status (B = belted, U = unbelted, A = all), the second character indicates age group (Y = < 30 yrs, M = 30 – 60 yrs, O = > 60 yrs, A = all), and the third character indicates gender (M = male, F = female, A = all). Both raw (R) and weighted (W) sample sizes are given. α and β coefficients are for a Weibull distribution (eq. 11 for the exposure distribution and eq. 6 for the risk function) where x is delta-V in units of kilometers per hour.

ID Code All Occupants AIS 3+F Fatal
Sample size Exposure Sample size Risk Sample size Risk
R W α β nexp R W α β R W α β
AAA 11483 4646531 0.66 3.35 760379 1289 107722 3.33 80.5 240 10601 4.89 117
BAA 9397 4085206 0.60 2.15 549439 805 67357 3.38 84.1 118 4337 4.54 140
UAA 1962 506307 1.17 18.2 194344 465 39030 2.54 82.9 114 5434 5.39 97.0
AYA 4449 1836122 0.81 6.70 379996 410 33689 3.61 86.9 65 2903 5.38 123
AMA 5596 2341731 0.57 1.75 319070 631 58104 3.19 77.5 95 3821 4.85 123
AOA 1438 468678 0.92 9.91 82617 248 15929 3.64 66.5 80 3877 4.92 85.7
AAM 5913 2283623 0.74 5.31 461638 653 52576 3.36 85.6 150 6759 4.83 117
AAF 5560 2358444 0.60 2.05 298965 635 55121 3.42 72.4 90 3841 5.04 115
BYA 3440 1569771 0.71 4.19 260713 222 21688 3.42 93.4 15 659 4.80 171
BMA 4702 2077813 0.51 0.90 230624 401 34782 3.31 81.2 48 1756 4.97 134
BOA 1255 437622 1.19 14.4 73223 182 10887 3.93 66.6 55 1921 5.48 85.3
BAM 4617 1971408 0.66 3.35 315950 360 26986 3.61 89.3 65 2706 4.82 132
BAF 4773 2110354 0.57 1.49 233087 445 40371 3.43 74.3 53 1631 4.17 154
UYA 968 259442 1.09 15.5 102056 180 11643 3.61 80.6 46 1975 5.62 102
UMA 823 218466 1.46 25.3 79424 220 22427 1.62 99.1 43 1504 4.96 108
UOA 171 28399 0.92 14.9 14358 65 4960 3.19 59.8 25 1956 3.92 80.8
UAM 1219 301363 1.18 18.5 137005 283 24592 2.47 88.9 79 3253 4.57 109
UAF 742 204933 1.05 15.7 55727 182 14438 2.69 71.8 35 2181 6.91 84.9
AYM 2408 921923 0.86 8.71 230211 227 16675 4.53 81.9 45 2131 4.93 130
AYF 2039 911315 0.78 5.16 141984 183 17014 3.21 86.1 20 772 6.36 111
AMM 2798 1145857 0.66 3.27 191359 319 29495 2.97 86.6 70 2962 5.32 108
AMF 2791 1194305 0.50 0.86 129543 311 28584 3.50 68.1 25 859 4.20 161
AOM 707 215843 1.06 12.2 46166 107 6406 3.96 68.8 35 1667 4.88 87.4
AOF 730 252824 0.80 7.57 36439 141 9523 3.39 63.4 45 2210 4.90 84.6
BYM 1757 761200 0.72 4.99 140792 102 7970 4.61 87.0 9 412 4.42 187
BYF 1681 805687 0.75 4.33 117665 120 13718 3.26 86.1 6 247 5.07 157
BMM 4702 2077813 0.51 0.90 230624 401 34782 3.31 81.2 48 1756 4.97 134
BMF 2439 1066263 0.45 0.45 98311 220 20815 3.49 69.8 17 602 4.13 168
BOM 602 199218 1.14 13.5 40739 77 5049 4.17 68.3 25 1140 6.60 78.3
BOF 653 238404 1.25 15.4 32267 105 5838 3.70 64.38 30 782 4.43 98.6
UYM 629 157290 1.08 15.6 79390 122 8440 4.13 77.41 34 1479 4.78 113
UYF 339 102152 1.19 16.3 22779 58 3204 2.40 102 12 495 12.5 75.3
UMM 493 129448 1.37 23.0 49856 131 14796 1.46 112 35 1246 4.86 103
UMF 330 89018 1.43 24.2 27575 89 7631 2.28 74.5 8 257 4.70 130
UOM 97 14626 0.80 8.15 5924 30 1357 2.84 75.2 10 528 2.17 154
UOF 73 13763 1.07 24.7 8081 35 3603 2.64 57.6 15 1428 5.55 73.5