Innovative estimation of survival using log-normal survival modelling on ACCENT database

摘要

Background:The ACCENT database, with individual patient data for 20?898 patients from 18 colon cancer clinical trials, was used to support Food and Drug Administration (FDA) approval of 3-year disease-free survival as a surrogate for 5-year overall survival. We hypothesised substantive differences in survival estimation with log-normal modelling rather than standard Kaplan–Meier or Cox approaches.