Multiple mediation analysis with survival outcomes: With an application to explore racial disparity in breast cancer survival.

ABSTRACT: Mediation analysis allows the examination of effects of a third variable in the pathway between an exposure and an outcome. The general multiple mediation analysis method, proposed by Yu et al, improves traditional methods (eg, estimation of natural and controlled direct effects) to enable consideration of multiple mediators/confounders simultaneously and the use of linear and nonlinear predictive models for estimating mediation/confounding effects. In this paper, we extend the method for time-to-event outcomes and apply the method to explore the racial disparity in breast cancer survivals. Breast cancer is the most common cancer and the second leading cause of cancer death among women of all races. Despite improvement of survival rates of breast cancer in the US, a significant difference

SUBMITTER: Yu Q 

PROVIDER: S-EPMC6320301 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature