During the computation of multiple cut-off values, multiple hypotheses are generated. Therefore, the false discovery rate (FDR) is computed by default in this setting using the Benjamini-Hochberg method [14 (link)] to correct for multiple hypothesis testing. The FDR results are normally shown in the “Results” page.
A requirement for Cox regression is that the hazard is independent of time. To fulfill this requirement, the censoring should be independent of the prognosis, samples entering at different time points in the analysis should have the same prognosis, and the time should be measured as a continuous variable (not in bins). We employed the coxph function of the survival package [10 ] for performing the proportional hazard assumption test.
In some cases, one might want to compare clinical and genomic variables. To enable this, clinical data can be selected not only as filters but also as variables to be included in the multivariate analysis. In these analyses, the “Results” page displays the P values and HR values for each variable included in the multivariate analysis in a table format.
A requirement for Cox regression is that the hazard is independent of time. To fulfill this requirement, the censoring should be independent of the prognosis, samples entering at different time points in the analysis should have the same prognosis, and the time should be measured as a continuous variable (not in bins). We employed the coxph function of the survival package [10 ] for performing the proportional hazard assumption test.
In some cases, one might want to compare clinical and genomic variables. To enable this, clinical data can be selected not only as filters but also as variables to be included in the multivariate analysis. In these analyses, the “Results” page displays the P values and HR values for each variable included in the multivariate analysis in a table format.
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