Ontology highlight
ABSTRACT:
SUBMITTER: Zhang Y
PROVIDER: S-EPMC6075574 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Zhang Yilong Y Shao Yongzhao Y
Biostatistics (Oxford, England) 20180101 1
Many populations of early-stage cancer patients have non-negligible latent cure fractions that can be modeled using transformation cure models. However, there is a lack of statistical metrics to evaluate prognostic utility of biomarkers in this context due to the challenges associated with unknown cure status and heavy censorship. In this article, we develop general concordance measures as evaluation metrics for the discriminatory accuracy of transformation cure models including the so-called pr ...[more]