Table 3.

The association of fatal RTAs with predictor variables; Crude odd ratio and adjusted odd ratio (COR, AOR) from the ordinal logistic regression

Predictor variable	Category	Ordinal logistic regression result
		Univariate analysis		Multivariable analysis
		COR(95%CI)	P-value	AOR(95%Cl)	P-value
	Drivers age	0.94 (0.91, 0.97)	0.001*	0.96 (0.93,1.00)	.033*
	Drivers experience	0.89 (0.83, 0.94)	0.001*	0.91 (0.85,0.97)	.005*
	Vehicle service in year	0.91 (0.85,0.98)	0.008*	0.90 (0.83,0.98)	.011*
Season	Autumn	0.40 (0.21, 0.76)	0.005*	0.44 (0.22,0.88)	.019*
	Winter	0.47 (0.25, 0.87)	0.017*	0.81 (0.41,1.59)	.536
	Spring	0.47 (0.25, 0.89)	0.021*	0.68 (0.34,1.34)	.262
	Summer (ref)
Day	Weekend	2.92 (1.74, 4.88)	0.001*	2.74 (1.58,4.75)	.001*
	Weekday (ref)
Drivers Educational level	Below grade 12	1.97 (1.13,3.45)	0.017*	1.89 (1.02,3.47)	.042*
	Grade 12 and above (ref)
Vehicle to driver relation	Own	0.43 (0.22,0.84)	0.014*	0.39 (0.19,0.80)	.010*
	Employed (ref)
Vehicle type	Minibus	1.63 (0.83,3.19)	.154	1.24 (0.54,2.84)	.608
	Bajaj	1.00 (0.42,2.36)	1.000	0.60(.22,1.65)	.321
	Cargo	0.89 (0.43,1.83)	.742	0.83 (0.34,2.02)	.676
	Pickup (ref)
Vehicle owner	Private	1.23 (0.69,2.19)	.476	0.89 (0.42,1.89)	.763
	Government (ref)
Light situation	Daylight	2.59 (1.28,5.23)	0.008*	2.36 (1.09,5.14)	.030*
	Night (ref)