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Estimation and sensitivity analysis for causal decomposition in health disparity research

Datos Bibliográficos

ID2331091
AutoresSoojin Park (0000-0003-0288-5589, Graduate School of Education, University of California, Riverside, CA, USA, autor de correspondencia), Xu Qin (0000-0002-5506-0399, University of Pittsburgh), Chioun Lee (0000-0002-6886-8397, Department of Sociology, University of California, Riverside, CA, USA)
Año2024
Volumen53
Número2
Páginas571-602
Fecha de publicación2024-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSociological Methods & Research (JOURNAL)
Identificadores de la revistaISSN: 0049-1241 • E-ISSN: 1552-8294
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/00491241211067516
OpenAlexW4205326275
IdiomaEN
Citas recibidas9
Referencias citadas28

In the field of disparities research, there has been growing interest in developing a counterfactual-based decomposition analysis to identify underlying mediating mechanisms that help reduce disparities in populations. Despite rapid development in the area, most prior studies have been limited to regression-based methods, undermining the possibility of addressing complex models with multiple mediators and/or heterogeneous effects. We propose a novel estimation method that effectively addresses complex models. Moreover, we develop a sensitivity analysis for possible violations of an identification assumption. The proposed method and sensitivity analysis are demonstrated with data from the Midlife Development in the US study to investigate the degree to which disparities in cardiovascular health at the intersection of race and gender would be reduced if the distributions of education and perceived discrimination were the same across intersectional groups

Causal inference · Counterfactual thinking · Econometrics · Economics · Estimation · Field (mathematics · Geography · Health equity · Identification (biology · Intersection (aeronautics · Machine learning · Public health · Race (biology · Regression analysis · Sensitivity (control systems · Sociology · Advanced Causal Inference Techniques · Computer Science · Health disparities and outcomes · Mathematics · Medicine · Psychology · Racial and Ethnic Identity Research · Social Psychology

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    Open Access•Xu Qin•Asia Pacific Education Review•2024

  • The Impact of Omitting Confounders in Parallel Process Latent Growth Curve Mediation Models

    Xiao Liu, Zhiyong Zhang et al.•Structural Equation Modeling: A…•2024

  • Poor Neighborhoods, Bad Schools? A High-Dimensional Model of Place-Based Disparities in Academic Achievement

    Open Access•Geoffrey T Wodtke, Geoffrey Wodtke et al.•Sociological Science•2026

  • Causal Estimands and Multiply Robust Estimation of Mediated-Moderation

    Xiao Liu, Liu Xiao et al.•Multivariate Behavioral Research•2025

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  • Choosing an Optimal Method for Causal Decomposition Analysis with Continuous Outcomes

    Open Access•Soojin Park, Suyeon Kang et al.•Sociological Methodology•2024

  • Simulation-Based Sensitivity Analysis in Optimal Treatment Regimes and Causal Decomposition With Individualized Interventions

    Open Access•Soojin Park, Suyeon Kang et al.•Sociological Methods & Research•2025

  • Causal Decomposition Analysis With Time-Varying Mediators

    Open Access•Soojin Park, Namhwa Lee et al.•Sociological Methods & Research•2024

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  • Black Feminist Thought

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  • Cardiovascular Health at the Intersection of Race and Gender

    Open Access•Chioun Lee, Soojin Park et al.•The Journals of Gerontology…•2020

  • Intersectional effects of racial and gender discrimination on cardiovascular health vary among black and white women and men in the Cardia study

    Open Access•Ganga S Bey, Bill M Jesdale et al.•SSM - Population Health•2019

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  • Intersectional decomposition analysis with differential exposure, effects, and construct

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Obras citantes distintas9
Citas por año4,5
Intervalo de citas2024 - 2026 (3)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 9
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