1. Correction Journal of Allergy and Clinical Immunology
Journal of Allergy and Clinical Immunology 
Volume 139, Issue 3, Pages (March 2017)
DOI: /j.jaci
Copyright © 2016 American Academy of Allergy, Asthma & Immunology Terms and Conditions

2. Fig 1
A, Boxplots of 30 serum protein concentrations in log scale of AE patients (n = 52) and controls (n = 20). *Significance with P < .1. B, Hierarchical clustering of correlation between AE patients (black) and controls (gray) indicating the presence of 2 main clusters that sub-stratify AE patients. C, Significant differences (FDR < 10%) between the patients in the hierarchical clusters 1 and 2. D, Hierarchical clustering of correlations of measured serum proteins in the AE patient cohort. (1-r) was used as distance measure and the ward. D2 clustering method for identifying clusters. In total, 7 protein clusters could be defined. E, Serum proteins were correlated with the SCORAD using the Pearson's product moment correlation. *Significance with P < .1. F, SCORAD prediction model. The best-fit model identified 10 serum proteins (shown in the table) for optimal SCORAD prediction (graph on the left). The table gives information on the 10 parameters (serum proteins) included and the intercept, estimate and P value. The P value tests whether the estimated coefficient in the model is significantly different from zero. The adjusted R2 for the best-fit model is 0.47 with a leave-one-out cross validation root mean squared prediction error of 18.9.
Journal of Allergy and Clinical Immunology  , DOI: ( /j.jaci )
Copyright © 2016 American Academy of Allergy, Asthma & Immunology Terms and Conditions