Table 1.
Parameter estimates, standard errors and p-values for: (1) logistic regression and (2) linear regression, which are stacked in the first column, and (3) CREM in the second column.
| Uncorrelated | Correlated Random Effects | ||||
|---|---|---|---|---|---|
| Estimate(SE) | p >|t| | Estimate(SE) | p >|t| | ||
| Logistic regression (Binary) | |||||
| Intercept | .76(.31) | .02 | .75(.31) | .02 | |
| Intersection 3.0(s) | 1.45(.14) | < .01 | 1.45(.14) | < .01 | |
| Intersection 3.4(s) | 2.88(.18) | < .01 | 2.87(.18) | < .01 | |
| Passenger presence | −.08(.18) | .66 | −.08(.18) | .65 | |
| Passenger type | −.72(.43) | .10 | −.71(.44) | .10 | |
| Passenger presence*passenger type | −.81(.25) | < .01 | −.80(.25) | < .01 | |
| 2.17(.51) | < .01 | 2.17(.51) | < .01 | ||
| Linear regression (Normal) | |||||
| Intercept | .62(.04) | < .01 | .64(.04) | < .01 | |
| Intersection 3.0(s) | .17(.01) | < .01 | .17(.01) | < .01 | |
| Intersection 3.4(s) | .32(.02) | < .01 | .33(.02) | < .01 | |
| Passenger presence | .07(.02) | < .01 | .07(.02) | < .01 | |
| Passenger type | −.02(.05) | .67 | −.04(.05) | .44 | |
| Passenger presence*passenger type | −.14(.03) | < .01 | −.14(.03) | < .01 | |
| .02(.01) | < .01 | .03(.01) | < .01 | ||
| .02(.00) | < .01 | .02(.00) | < .01 | ||
| ρσbσc | - | .08(.04) | .07 | ||
| −2×log likelihood | 2064.08 | - | 2060.19 | - | |