A literature-based approach to evaluate the predictive capacity of a marker using time-dependent summary receiver operating characteristics
|Published in||Statistical Methods in Medical Research. 2012|
|Abstract||Meta-analyses are popular tools to summarize the results of publications. Prognostic performances of a marker are usually summarized by meta-analyses of survival curves or hazard ratios. These approaches may detect a difference in survival according to the marker but do not allow evaluation of its prognostic capacity. Time-dependent receiver operating characteristic curves evaluate the ability of a marker to predict time-to-event. In this article, we describe an adaptation of time-dependent summary receiver operating characteristic curves from published survival curves. To achieve this goal, we modeled the marker and the time-to-event distributions using non-linear mixed models. First, we applied this methodology to individual data in kidney transplantation presented as aggregated data, in order to validate the method. Second, we re-analyzed a published meta-analysis, which focused on the capacity of KI-67 to predict the overall survival of patients with breast cancer.|
This document has no fulltext available yet, but you can contact its author by using the form below.
|Research group||Epidémiologie clinique (115)|
|COMBESCURE, Christophe, DAURES, Jp, FOUCHER, Y. A literature-based approach to evaluate the predictive capacity of a marker using time-dependent summary receiver operating characteristics. In: Statistical Methods in Medical Research, 2012. https://archive-ouverte.unige.ch/unige:43442|