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. Author manuscript; available in PMC: 2016 Feb 16.
Published in final edited form as: Anal Methods Accid Res. 2015 Jan;5-6:17–27. doi: 10.1016/j.amar.2014.12.001

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
σb2
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
σc2
.02(.01) < .01 .03(.01) < .01
σe2
.02(.00) < .01 .02(.00) < .01
ρσbσc - .08(.04) .07

−2×log likelihood 2064.08 - 2060.19 -