ArticleBiometrical journal. Biometrische Zeitschrift2023
Causal decomposition maps: An exploratory tool for designing area-level interventions aimed at reducing health disparities.
Article in Biometrical journal. Biometrische Zeitschrift, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Causal Inference in Health Disparities Research.Annual review of public health · 2026Review
- Incorporating small-area estimation into mediation analyses with areal datasets.Spatial and spatio-temporal epidemiology · 2025Article
- A Review of the Causal Decomposition Framework for Modeling Interventions that Reduce Disparities.Current epidemiology reports · 2025Article
- Path-specific causal decomposition analysis with multiple correlated mediator variables.Statistics in medicine · 2024Article
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Authors and funding
3 authors.
Funding
Abstract
Methods for decomposition analyses have been developed to partition between-group differences into explained and unexplained portions. In this paper, we introduce the concept of causal decomposition maps, which allow researchers to test the effect of area-level interventions on disease maps before implementation. These maps quantify the impact of interventions that aim to reduce differences in health outcomes between groups and illustrate how the disease map might change under different interventions. We adapt a new causal decomposition analysis method for the disease mapping context. Through the specification of a Bayesian hierarchical outcome model, we obtain counterfactual small area estimates of age-adjusted rates and reliable estimates of decomposition quantities. We present two formulations of the outcome model, with the second allowing for spatial interference of the intervention. Our method is utilized to determine whether the addition of gyms in different sets of rural ZIP codes could reduce any of the rural-urban difference in age-adjusted colorectal cancer incidence rates in Iowa ZIP codes.
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Registered trials
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