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. 2021 Aug;148(2):495–505.e14. doi: 10.1016/j.jaci.2021.02.029

Table III.

Summary of mechanistic multivariable linear regression models (n = 60), in which combinations of functional IgE characteristics were used to predict %CD63+ LAD2 cell activation

Model no. Characteristic Unstandardized β- coefficient Coefficient SE Standardized β-coefficient P value R2 value VIF
1 Peanut-sIgE 0.037 0.020 0.225 .066 0.415 1.384
PD 20.528 5.203 0.534 <.0001 1.750
Avidity −0.141 0.180 −0.092 .436 1.322
2 Peanut SA 0.664 0.156 0.447 <.0001 0.530 1.314
PD 16.940 4.470 0.440 <.0001 1.608
Avidity −0.181 0.158 −0.118 .258 1.275
3 Peanut-sIgE 0.077 0.019 0.472 <.0001 0.255 1.008
WD 2.171 4.306 0.057 .628 1.035
Avidity 0.223 0.180 0.145 .224 1.043
4 Peanut SA 0.993 0.154 0.668 <.0001 0.447 1.084
WD 7.383 3.786 0.201 .056 1.078
Avidity 0.121 0.157 0.079 .444 1.063

Unstandardized and standardized β-coefficients are reported alongside significance and variance inflation factor (VIF). VIF >10 was used to indicate any collinearity.