Multimedia: multimodal mediation analysis of microbiome data.

ABSTRACT: Mediation analysis has emerged as a versatile tool for answering mechanistic questions in microbiome research because it provides a statistical framework for attributing treatment effects to alternative causal pathways. Using a series of linked regressions, this analysis quantifies how complementary data relate to one another and respond to treatments. Despite these advances, existing software's rigid assumptions often result in users viewing mediation analysis as a black box. We designed the multimedia R package to make advanced mediation analysis techniques accessible, ensuring that statistical components are interpretable and adaptable. The package provides a uniform interface to direct and indirect effect estimation, synthetic null hypothesis testing, bootstrap confidence interval cons

SUBMITTER: Jiang H 

PROVIDER: S-EPMC11792470 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature