Table E9.

Simple multivariable linear regression models, in which combinations of functional IgE characteristics were used to predict %CD63⁺ basophil activation (n = 54)

Model no.	Characteristic	Unstandardized β-coefficient	Coefficient SE	Standardized β-coefficient	P value	R2 value	VIF
S4∗	Peanut-sIgE	0.043	0.025	0.213	.098	0.765	2.045
	PD	38.851	7.119	0.751	<.0001		2.50
	Avidity	−0.230	0.227	−0.102	.317		1.326
S5∗	Peanut SA	0.616	0.187	0.335	.002	0.809	1.690
	PD	35.673	5.787	0.690	<.0001		2.037
	Avidity	−0.243	0.200	−0.108	.234		1.280
S6∗	Peanut-sIgE	0.138	0.025	0.688	<.0001	0.540	1.041
	WD	1.372	6.740	0.025	.840		1.007
	Avidity	0.352	0.280	0.156	.219		1.037
S7∗	Peanut SA	1.374	0.214	0.748	<.0001	0.607	1.071
	WD	9.911	6.270	0.180	.124		1.021
	Avidity	0.280	0.260	0.124	.290		1.049
S8	PD	41.936	3.885	0.874	<.0001	0.716	1.179
	WD	−2.594	2.610	−0.81	.325		1.179
S9	Peanut-sIgE	0.098	0.016	0.482	<.0001	0.760	1.299
	Peanut SA	0.998	0.147	0.531	<.0001		1.299
S10	PD	28.841	3.927	0.601	<.0001	0.796	1.680
	Peanut SA	0.714	0.154	0.380	<.0001		1.680

Unstandardized and standardized β-coefficients are reported alongside significance and variance inflation factor (VIF). VIF >10 was used to indicate any collinearity. For models containing avidity as an input characteristic, n = 35 is observed.

^∗For models that include avidity analyses, n = 35.