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All multivariate modelling was implemented using leave-sample-out cross-validation throughout.
Multivariate modelling was used for calculation of hazard ratios and clinical response and benefit.
Multivariate modelling was used to calculate risk indicators for poor self-reported oral health.
The multivariate modelling was not influenced by inclusion of adjuvant therapy or EGFR mutation (data not shown).
Multivariate modelling was not used since the study was a randomized trial and there were no differences in base-line confounding factors between the groups.
Statistical evaluation of the protein abundance in the 2D-DIGE analysis was made using the Biological Variation Analysis (BVA) module in DeCyder™ V6.5 and multivariate modelling was performed using SIMCA-P 12 (Umetrics AB, Umeå, Sweden).
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However, robust multivariate modelling is slow.
The multivariate model was then stratified by RRM1 (Table S2) and without disease stage.
Significance in multivariate models was determined using the likelihood ratio test.
The multivariate model was repeated to examine the subgroup of documented seroconverters.
A multivariate model was fitted with the variables examined in the univariate setting.
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