A numerical strategy to evaluate performance of predictive scores via a copula-based approach.

ABSTRACT: Assessing and comparing the performance of correlated predictive scores are of current interest in precision medicine. Given the limitations of available theoretical approaches for assessing and comparing the predictive accuracy, numerical methods are highly desired which, however, have not been systematically developed due to technical challenges. The main challenges include the lack of a general strategy on effectively simulating many kinds of correlated predictive scores each with some given level of predictive accuracy in either concordance index or the area under a receiver operating characteristic curve area under the curves (AUC). To fill in this important knowledge gap, this paper is to provide a general copula-based numeric framework for assessing and comparing predictive performa

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC7478334 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature