. Author manuscript; available in PMC: 2019 Mar 1.

Published in final edited form as: Neurobiol Dis. 2018 Jun 1;123:115–121. doi: 10.1016/j.nbd.2018.05.014

Table 5.

Multi-model inference analysis for prediction of PTE.

Model	Predictors	Estimate	SE	p-Value	AICc	Delta	Weight
1	Temporal lobe injury	3.03	0.96	0.002^*	48.30	0.00	0.69
	+ Skull fracture	1.92	0.87	0.028^*
	+ Early seizure	2.35	1.13	0.038^*
2	Temporal lobe injury	2.83	0.86	0.001^*	51.40	3.04	0.15
	+ Skull fracture	1.88	0.82	0.022^*
3	Temporal lobe injury	2.57	0.86	0.003^*	51.60	3.22	0.14
	+ Early seizure	2.27	1.05	0.031^*

Abbreviations: SE — Standard Error, AICc — second order Akaike information criterion, GCS — Glasgow Coma Score.

p-value is statistically significant after running generalized linear models and a multi-model inference analysis.