From: Public health application of predictive modeling: an example from farm vehicle crashes
State | Total occupants (N) | Observed injuries or deaths (N) | Non-modifiable (Model 1) QIC = 10,844.4 AUC = 0.69 (0.68, 0.71) | Non + semi-modifiable (Model 2) QIC = 10,077.4 AUC = 0.75 (0.74, 0.76) | Non + semi + modifiable (Model 3) QIC = 9676.8 AUC = 0.78 (0.76, 0.79) | |||
---|---|---|---|---|---|---|---|---|
Avg. pred. Prob. | Expected injuries/ deaths (N) | Avg. pred. Prob. | Expected injuries/ deaths (N) | Avg. pred. Prob. | Expected injuries/ deaths (N) | |||
IA | 2279 | 421 | 0.1804 | 411 | 0.1820 | 415 | 0.1818 | 414 |
IL | 2651 | 421 | 0.1600 | 424 | 0.1602 | 425 | 0.1594 | 422 |
KS | 1477 | 186 | 0.1251 | 185 | 0.1246 | 184 | 0.1242 | 183 |
MN | 1887 | 199 | 0.1008 | 190 | 0.1044 | 197 | 0.1017 | 192 |
MO | 1893 | 207 | 0.1135 | 215 | 0.1169 | 221 | 0.1197 | 227 |
ND | 482 | 51 | 0.1052 | 51 | 0.1066 | 51 | 0.1064 | 51 |
NE | 1159 | 189 | 0.1634 | 189 | 0.1641 | 190 | 0.1619 | 188 |
SD | 453 | 74 | 0.1549 | 70 | 0.1586 | 72 | 0.1592 | 72 |
WI | 2553 | 339 | 0.1383 | 353 | 0.1367 | 349 | 0.1365 | 348 |
Total | 14,834 | 2087 | 0.1408 | 2089 | 0.1419 | 2104 | 0.1415 | 2099 |