Methods for large-scale single mediator hypothesis testing: Possible choices and comparisons.

ABSTRACT: Mediation hypothesis testing for a large number of mediators is challenging due to the composite structure of the null hypothesis, H 0 : α β = 0 ${H}_{0}:\alpha \beta =0$ ( α $\alpha $ : effect of the exposure on the mediator after adjusting for confounders; β $\beta $ : effect of the mediator on the outcome after adjusting for exposure and confounders). In this paper, we reviewed three classes of methods for large-scale one at a time mediation hypothesis testing. These methods are commonly used for continuous outcomes and continuous mediators assuming there is no exposure-mediator interaction so that the product α β $\alpha \beta $ has a causal interpretation as the indirect effect. The first class of methods ignores the impact of different structures under the composite null hyp

SUBMITTER: Du J 

PROVIDER: S-EPMC10329872 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature