 This article discusses the limitations of traditional receiver operating characteristic, ROC, curve analysis, which assumes that disease status and marker value remain constant over time. The ALFAs propose a more appropriate approach that considers the time-dependent nature of these variables. They review various methods for analyzing ROC curves as a function of time and provide examples of their application using a sequential dataset from the Mayo Clinic in primary biliary cirrhosis, PBC. Despite the availability of several estimation methods, the ALFAs note that applications of time-dependent ROC curve analysis in clinical studies are still limited. They make recommendations for future research to further develop and apply these methods. This article was authored by Audina Naja Kamarudin, Trevor Cox, and Rwanti Kola Manage donor. We are article.tv, links in the description below.