Comparison of multivariable methods for determining cutpoints of biomarkers in the context of survival time analyses: A simulation study with practical applications to survival data

Multivariable methods to estimate a biomarker's cutpoint in survival time analyses using the Cox regression model may represent a good alternative to univariable methods. Our simulation has shown that methods maximising the chi-square statistic or minimising the AIC, respectively, perform better than the univariable method using the minimum p-value approach and outperform multivariable methods based on the c-index or CPE.