Table 4.
Model 1 (n=8,823 ) |
Model 2 (n=7,370) |
Model 3 (n=9,664) |
||
---|---|---|---|---|
Single-vehicle crashes |
Two-vehicle crashes |
All crashes | ||
Factor | Estimate (SE) | Estimate (SE) | Estimate (SE) | |
Intercept | −2.240 (0.177) | −2.890 (0.187) | −1.787 (0.101) | |
Female | −0.813 (0.067) | −0.213 (0.064) | −0.546 (0.094) | |
Age 16–20 | 1.012 (0.105) | 0.587 (0.092) | 0.871 (0.123) | |
Age 35+ | −0.319 (0.080) | 0.252 (0.063) | 0.016 (0.112) | |
Age 21–34 (Ref.) | ||||
Latino Non-Latino African- | −1.191 (0.200) | −0.278 (0.203) | −0.681 (0.126) | |
American | −0.489 (0.240) | −0.340 (0.250) | −0.425 (0.13) | |
Non-Latino Other | −2.004 (0.341) | −1.267 (0.324) | −1.502 (0.214) | |
Non-Latino White (Ref.) | ||||
BrAC | 0.035 (0.004) | 0.025 (0.003) | 0.032 (0.003) | |
0<BAC<0.019, Age 21+ | −0.663 (0.151) | −1.437 (0.147) | −0.943 (0.35) | |
Age 16–20, BrAC | 0.003 (0.005) | 0.005 (0.005) | 0.004 (0.005) | |
Age 35+, BrAC | −0.002 (0.004) | −0.002 (0.003) | −0.004 (0.003) | |
Age 21–34, BrAC (Ref.) | ||||
Latino, BrAC | −0.001 (0.004) | 0.000 (0.004) | −0.003 (0.003) | |
Non-Latino African- | ||||
American, BrAC | 0.001 (0.004) | 0.003 (0.004) | 0.002 (0.003) | |
Non-Latino Other, BrAC | 0.003 (0.004) | 0.002 (0.004) | 0.000 (0.004) | |
Non-Latino White, BrAC (Ref.) | ||||
Max-rescaled R2 | 0.728 | 0.376 | 0.646 |
Model 1 includes single-vehicle crashes only. Model 2 examines two-vehicle crash models. Model 3 includes any number of vehicle crashes. Standard Errors are estimated taking into account the sampling design in 2007 NRS and the multiple imputation process in 2006–07 FARS. The fit statistic value corresponds to the average based on the 10 imputed versions of the BAC in the FARS data set. BrAC (breath alcohol concentration) is the rescaled BAC: BrAC = BAC × 1000. Ref. = reference group: Male ages are 21–34 years. Age ≥ 21 refers to ages 21 and older.
Coefficients in bold are statistically significant (5%). Sample sizes (n) used in each model do not add up to totals in n 1 due to missing demographic information (e.g., gender, age).