Yanyi Song, Xiang Zhou, Jian Kang, Max T Aung, Min Zhang, Wei Zhao, Belinda L Needham, Sharon L R Kardia, Yongmei Liu, John D Meeker, Jennifer A Smith, Bhramar Mukherjee
Causal mediation analysis aims to characterize an exposure's effect on an outcome and quantify the indirect effect that acts through a given mediator or a group of mediators of interest. With the increasing availability of measurements on a large number of potential mediators, like the epigenome or the microbiome, new statistical methods are needed to simultaneously accommodate high-dimensional mediators while directly target penalization of the natural indirect effect (NIE) for active mediator identification...
November 2021: Journal of the Royal Statistical Society. Series C, Applied Statistics