Causal decomposition analysis with synergistic interventions: A triply robust machine-learning approach to addressing multiple dimensions of social disparities.

ABSTRACT: Educational disparities are rooted in, and perpetuate, social inequalities across multiple dimensions such as race, socioeconomic status, and geography. To reduce disparities, most intervention strategies focus on a single domain and frequently evaluate their effectiveness by using causal decomposition analysis. However, a growing body of research suggests that single-domain interventions may be insufficient for individuals marginalized on multiple fronts. While interventions across multiple domains are increasingly proposed, there is limited guidance on appropriate methods for evaluating their effectiveness. To address this gap, we develop an extended causal decomposition analysis that simultaneously targets multiple causally ordered intervening factors, allowing for the assessment of the

SUBMITTER: Park S 

PROVIDER: S-EPMC12616418 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature