Spearman Correlation on categorical, nominal data and Pearson correlation on continuous data.

<p>Table 4 shows the results of the Spearman Correlation on categorical, nominal data and Pearson correlation on continuous data. Variables that are ordinal were analyzed with Spearman correlation without and with the Bonferroni correction and continuous variables were analyzed using Pearson correlation without and with the Bonferroni correction. In the top row only biomarkers that were significantly correlated to patient groups have been included. Thus, each biomarker value was first correlated to the three groups: RRMS & SC, PPMS & SC, and CIS & SC, and then further correlated to all the demographic parameters. The correlation coefficient, <i>r</i>, is displayed with the significance levels indicated both without / and with the Bonferroni correction by * for p<0.05, and ** for p<0.001. All p-values are presented in tables B-Y in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0119681#pone.0119681.s001" target="_blank">S1 Dataset</a>. Abbreviations: RRMS (relapsing-remitting MS), PPMS (primary-progressive MS), CIS (clinically isolated syndrome), SC (symptomatic controls), n (number of persons), CSF (cerebrospinal fluid), NfL (neurofilament light polypeptide), TNL (total number of MRI white matter lesions), NEO (neopterin), OPN (osteopontin).</p><p>Spearman Correlation on categorical, nominal data and Pearson correlation on continuous data.