Gene functional networks and autism spectrum characteristics in young people with intellectual disability: a dimensional phenotyping study

Table 2 AIC models for autism spectrum characteristics, within whole sample

Component	Models	N variables	AIC weight	AIC_c	ΔAIC	Residual deviance
Inflexibility	Anxiety + FNG + Hyperactivity + Vineland	4	0.221	100.21	0	17.81
	Anxiety + FNG + Hyperactivity	3	0.202	100.39	0.18	18.98
	Anxiety + FNG + Hyperactivity + (FNG × Hyperactivity)	5	0.175	100.68	0.466	18
Social understanding	Anxiety + FNG + Hyperactivity + Inattention + Vineland + FNG × Hyperactivity + FNG × Inattention	9	0.174	114.93	0	20.26
	FNG + Hyperactivity + Inattention + Vineland + FNG × Hyperactivity + FNG × Inattention	8	0.133	115.47	0.537	21.98
	Anxiety + FNG + Gender + Hyperactivity + Inattention + Vineland + FNG × Hyperactivity + FNG × Inattention	10	0.131	115.49	0.564	19.05
Social motivation	Hyperactivity + Inattention	2	0.34	127.12	0	36.37
	Hyperactivity	1	0.3328	127.19	0.071	38.43
	Age + Hyperactivity	2	0.199	128.19	1.07	37.24

Summary of the best set of three similarly supported models, for each ASC dimension. N variables = number of parameters for each model, AIC weight = is the probability of each model being the best model, or relative evidence for each model. These estimates are computed by normalising model likelihoods. AIC_c = AIC criterion of model selection, corrected for smaller sample size, ΔAIC = AIC difference between the best fitting model (equal to zero) and the second best model. Residual deviance = distance between the data and the model

ISSN: 2040-2392