Identification of risk factors in epidemiologic study based on ROC curve and network.

ABSTRACT: This article proposes a new non-parametric approach for identification of risk factors and their correlations in epidemiologic study, in which investigation data may have high variations because of individual differences or correlated risk factors. First, based on classification information of high or low disease incidence, we estimate Receptor Operating Characteristic (ROC) curve of each risk factor. Then, through the difference between ROC curve of each factor and diagonal, we evaluate and screen for the important risk factors. In addition, based on the difference of ROC curves corresponding to any pair of factors, we define a new type of correlation matrix to measure their correlations with disease, and then use this matrix as adjacency matrix to construct a network as a visualization t

SUBMITTER: Jin J 

PROVIDER: S-EPMC5402390 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature